Coursera Specialization is a series of courses that helps you master a skill. To begin, you can enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. You can either complete just one course or you can pause your learning or end your subscription at any time.
Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.
When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network. Today we checkout ULTIMATE GUIDE to Coursera Specializations, I have over 100+ specializations covered here.
Quick Snapshot
University of Colorado Boulder
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!
IBM
As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You’ll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging.
National Research University Higher School of Economics
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
Google Cloud
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
University of Virginia
In this Specialization, you’ll gain an understanding and appreciation of the principles and practice of agile management. You’ll learn to coordinate all aspects of the agile development process, including running design sprints, managing teams, and fostering a culture of experimentation. In the final Capstone Project, you’ll apply what you’ve learned to guide a real-world software development project to successful completion. UVA Darden
Stanford University
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists. About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.
University of California, Irvine
Design, create, and deploy a fun IoT device using Arduino and Raspberry Pi platforms. This Specialization covers embedded systems, the Raspberry Pi Platform, and the Arduino environment for building devices that can control the physical world. In the final Capstone Project, you’ll apply the skills you learned by designing, building, and testing a microcontroller-based embedded system, producing a unique final project suitable for showcasing to future employers. Please note that this specialization does not offer discussion forums.
Vanderbilt University
This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms. The Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns. The project itself will be similar in design goals to previous assignments, however it will provide less of the skeleton code than earlier MOOCs provide to enable more creativity to learners and greater opportunity for learners to customize the app.
University of Colorado System
This specialization is intended for the learners interested in or already pursuing a career in computer security or other cybersecurity-related fields. Through four courses, the learners will cover the security of information systems, information entropy, classical cryptographic algorithms, symmetric cryptography, asymmetric/public-key cryptography, hash functions, message authentication codes, digital signatures, key management and distribution, and other fundamental cryptographic primitives and protocols.
University of Michigan
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Google Cloud
This specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This class is intended for the following participants: â— Cloud Solutions Architects, DevOps Engineers. â— Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. This Specialization has updated, improved content that will help you if you are preparing for the Google Certified Professional – Cloud Architect exam as well as the Associate Cloud Engineer exam. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<<
University of California San Diego
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.
Yandex
This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) – don’t miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale. In four concise courses you will learn the basics of Hadoop, MapReduce, Spark, methods of offline data processing for warehousing, real-time data processing and large-scale machine learning. And Capstone project for you to build and deploy your own Big Data Service (make your portfolio even more competitive). Over the course of the specialization, you will complete progressively harder programming assignments (mostly in Python). Make sure, you have some experience in it. This course will master your skills in designing solutions for common Big Data tasks: – creating batch and real-time data processing pipelines, – doing machine learning at scale, – deploying machine learning models into a production environment – and much more! Join some of best hands-on big data professionals, who know, their job inside-out, to learn the basics, as well as some tricks of the trade, from them. Special thanks to Prof. Mikhail Roytberg (APT dept, MIPT), Oleg Sukhoroslov (PhD, Senior Researcher, IITP RAS), Oleg Ivchenko (APT dept, MIPT), Pavel Akhtyamov (APT dept, MIPT), Vladimir Kuznetsov, Asya Roitberg, Eugene Baulin, Marina Sudarikova.
The State University of New York
This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks. The specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform. It is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.
University of Pennsylvania
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
Rice University
The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!
University of Colorado System
This specialization is intended for beginning programmers who want to learn how to program Unity games using C#. The first course assumes no programming experience, and throughout the 5 courses in the specialization you’ll learn how to program in C# and how to use that C# knowledge to program Unity games. The C# and Unity material in the first 4 courses in the specialization is slightly more comprehensive than the content in the first 2 game programming courses at UCCS. “Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere. The courses in this specialization are independent works and are not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates
Autodesk
The future of making is here, bringing with it radical changes in the way things are designed, made, and used. And it’s disrupting every industry. With the right knowledge and tools, this disruption is your opportunity-whether you’re an entrepreneur, designer, or engineer. Today’s dominant technology trends-cloud computing, mobile technology, social connection, and collaboration-are driving businesses and consumers alike to explore profoundly different ways to design, make, and use things. This kind of industry transformation has happened before, but the pace of change is now much faster. In today’s competitive landscape, anyone can be an innovator-and it’s all about who innovates first. Through this specialization, you will learn the foundations of product innovation and digital manufacturing while developing your technical skills within Autodesk® Fusion 360™.
Cisco
Welcome to the Cisco Networking Basics Specialization. The five courses included in this specialization are designed for beginners in computing that want to understand the basics of how data is sent and received in a network and how small computer networks are created. People who may be in non-networking professions that want to understand how their home or small business networks actually work will enjoy this course. These courses introduce a variety of concepts, practice activities and simulations that help build the learner’s skills and understanding of computer networking. You will learn how to set up a basic home network, configure devices for connectivity, understand how communication takes place on a network, and what minimal best practices should be implemented to secure the network. Learners will also be introduced to Cisco IOS® software used to manage Cisco routers and switches. Previous networking knowledge is not required.
University of Illinois at Urbana-Champaign
The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you’ve learned throughout the courses. The first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.
University of Colorado System
This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.
University of Colorado System
The Computer Security and Systems Management Specialization focuses on computing in an enterprise environment. Combining both theory and real world experience and architecture, the courses will prepare you to design and audit secure enterprise systems. The courses will cover practical use of major server operating systems in an enterprise environment and how to design and operate them securely.
University of Colorado System
It seems anymore that you can’t listen to the news without hearing of a data breach. You may have heard it said before that there are 2 types of companies out there, the ones who have been breached and those who will be breached. Defending against attackers who want to compromise assets can seem like an arduous task, but learning how attacks work and more importantly how to defend against those attacks can be very fulfilling. This specialization is designed to introduce you to practical computer security by teaching you the fundamentals of how you use security in the business world. This course is for those who want to understand how to defend computer systems and assets from attackers and other threats. It is also for those who want to understand how threats and attacks are carried out to help better defend their systems. This specialization is designed for senior business leaders to middle management and system administrators, so they can all speak the same language and get a better handle on their organization’s security. Additionally, the course material may help you in passing some industry leading computer security examinations such as Security+ and CISSP.
University System of Georgia
Cybersecurity is an essential business skill for the evolving workplace. For-profit companies, government agencies, and not-for-profit organizations all need technologically proficient, business-savvy information technology security professionals. In this Specialization, you will learn about a variety of processes for protecting business assets through policy, education and training, and technology best practices. You’ll develop an awareness of the risks and cyber threats or attacks associated with modern information usage, and explore key technical and managerial topics required for a balanced approach to information protection. Topics will include mobility, the Internet of Things, the human factor, governance and management practices.
PwC
If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L & D Spark page or simply search “Coursera” on PwC Spark. This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We’ll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster – leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we’ll help you to present data to others in a way that gets them engaged in your story and motivated to act. What’s more, should you enroll in these courses, you will be invited to join PwC’s talent network. Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network. Please note: If you’d like to audit the courses in this Specialization, you’ll need to enroll in each course separately and then you will see the audit option. This specialization was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
Google Cloud
This five-week, accelerated online specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The course covers structured, unstructured, and streaming data. This course teaches the following skills: Design and build data processing systems on Google Cloud Platform Leverage unstructured data using Spark and ML APIs on Cloud Dataproc Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow Derive business insights from extremely large datasets using Google BigQuery Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML Enable instant insights from streaming data This class is intended for developers who are responsible for: Extracting, Loading, Transforming, cleaning, and validating data Designing pipelines and architectures for data processing Creating and maintaining machine learning and statistical models Querying datasets, visualizing query results and creating reports >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<<
University of Illinois at Urbana-Champaign
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 – 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.
Johns Hopkins University
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
National Research University Higher School of Economics
This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Sorry, we do not believe in multiple choice questions when it comes to learning algorithms. or anything else in computer science! For each algorithm you develop and implement, we designed multiple tests to check its correctness and running time – you will have to debug your programs without even knowing what these tests are! It may sound difficult, but we believe it is the only way to truly understand how the algorithms work and to master the art of programming. The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.
Arizona State University
Database systems are used to provide convenient access to disk-resident data through efficient query processing, indexing structures, concurrency control, and recovery. This specialization delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms. Courses cover the design, deployment and use of state-of-the-art data processing systems, which provide scalable access to data. All courses in this Specialization form the lecture and skill practice component of a corresponding course in ASU’s online Master of Computer Science Degree. You can apply to the degree program either before or after you begin the Specialization.
Arizona State University
Visual representations generated by statistical models help us to make sense of large, complex datasets through interactive exploration, thereby enabling big data to realize its potential for informing decisions. This specialization covers techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data.
University of California, Davis
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau’s library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
University of Colorado System
Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.
deeplearning.ai
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
Google Cloud
This three-course specialization will introduce you to the many out of box capabilities of the Google Cloud Platform (Apigee) and how to apply them to your APIs to properly implement and secure them. Through a combination of video lectures, hands on labs, and supplemental materials, you’ll learn how to design, build, and deploy your API solution using services on the Google Apigee Platform. This specialization is intended for API designers and developers and is considered to be fundamental. We highly recommend this training prior to working on the Google Apigee Platform This specialization will allow you to spin up your own free environment and develop your first set of APIs as the instructor walks you through a specific real world scenario. Note: If you wish to become Apigee certified, please refer to the following URL for more information: https://apigee.com/api-management/#/certification
Google Cloud
In this specialization, application developers learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to use GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. This class is intended for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform. This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.
EIT Digital
Three people died after the crash landing of an Asiana Airlines aircraft from Seoul, Korea, at San Fransisco International Airport (SFO) on July 6, 2013. The American National Transportation Safety Board (NTSB) established that the crash most probably was caused by the flight crew’s (in)actions. Three teenage girls lost their lives; two in the airplane and another was accidentally run over by a firetruck. The human factor is often cause for accidents. NTSB and others report that more than 50 percent of plane crashes is caused by pilot error (and for road accidents it is even 90 perc.) Correctly designed safety and security critical systems can prevent these errors. After following this course successfully, you are able to develop secure embedded systems that are at the core of these safety and security critical systems. You are even challenged to program your own landing guiding system in our capstone project. If you are interested in building secure embedded systems for the benefit of humanity, this specialization is for you! EIT Digital has chosen 3 MOOC topics of industrial interest, namely: 1) Embedded design and hardware, 2) Security in embedded connectivity and 3) Real-Time systems. These MOOCs show what it takes to program Internet-of-Things systems. We focus on tools used in the modern IoT industry, and we push for a practical learn-by-programming approach in which you are exposed to the actual development in an early stage. We hope to see you soon!
Yonsei University
This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services. The Specialization includes projects on Big Data using IBM SPSS Statistics, AR applications, Cloud Computing using AWS (Amazon Web Service) EC2 (Elastic Compute Cloud), and Smartphone applications to analyze mobile communication, Wi-Fi, and Bluetooth networks. The course contents are for expert level research, design, development, industrial strategic planning, business, administration, and management.
Macquarie University
This specialization is intended for anyone who seeks to develop one of the most critical and fundamental digital skills today. Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In the United States alone, millions of job advertisements requiring Excel skills are posted every day. Research by Burning Glass Technologies and Capital One shows that digital skills lead to higher income and better employment opportunities. At a time when digital skills jobs are growing much faster than non-digital jobs, completing this specialization will position you way ahead of others. In this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively. In addition, learners have mastered the skills needed to validate data and prevent errors in spreadsheets, create automation, apply advanced formulas and conditional logic to help make decisions and create spreadsheets that help forecast and model data.
Duke University
Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion.
University of Colorado Boulder
This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 “real world” and somewhat open ended projects, which are graded through peer review.
Johns Hopkins University
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Google Cloud
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: â— Data Analysts, Business Analysts, Business Intelligence professionals â— Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<<
The Hong Kong University of Science and Technology
Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution. The first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node. js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript. Ideally learners should complete the courses in the specified sequence. It is strongly recommended that the Angular course be completed before proceeding with the Ionic and Cordova and/or the NativeScript course.
The Hong Kong University of Science and Technology
Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution. The first two courses in this Specialization cover front-end frameworks: Bootstrap 4 and React. You’ll also learn to create hybrid mobile applications, using React Native. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node. js environment and Express framework, and communicate to the client side through a RESTful API. Learners enrolling in this Specialization are expected to have prior working knowledge of HTML, CSS and JavaScript. Ideally learners should complete the courses in the specified sequence. It is strongly recommended that the React course be completed before proceeding with the React Native course.
École Polytechnique Fédérale de Lausanne
Discover how to write elegant code that works the first time it is run. This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You’ll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you’ll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.
University of Colorado System
This specialization in intended for IT professionals, computer programmers, managers, IT security professionals who like to move up ladder, who are seeking to develop network system security skills. Through four courses, we will cover the Design and Analyze Secure Networked Systems, Develop Secure Programs with Basic Cryptography and Crypto API, Hacking and Patching Web Applications, Perform Penetration Testing, and Secure Networked Systems with Firewall and IDS, which will prepare you to perform tasks as Cyber Security Engineer, IT Security Analyst, and Cyber Security Analyst. The learning outcomes of this specialization include: you should be able to create public/private keys, certificate requests, install/sign/verify them for web server and client authentication, secure emails, and code signing. you should be able to write secure web apps with Crypto API to implement the confidentiality, integrity, and availability basic security services. you should be able to hack web applications with vulnerabilities and patch them. you should be able to apply penetration testing tool to exploit vulnerable systems. you should be able to crack passwords given the hashes in password file using AWS P2 GPU. you should be able to configure firewall and IDS for secure network systems you should be able to specify effective security policies and implement efficient enforcement procedures by applying security design principles for securing network systems.
Rice University
This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
Michigan State University
Break into the video game industry with theoretical, technical, and business knowledge from one of the world’s best programs. This Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. Michigan State University is one of the top-rated game design and development programs in North America. You’ll learn to develop a game concept; prototype, test, and iterate on your ideas; and navigate licensing, marketing, and other business considerations. The specialization builds a solid foundation for industry roles as a gameplay designer, level designer, technical designer, technical artist, programmer, or producer. The capstone partner for the specialization is the online game portal Kongregate, which provides an avenue for distribution of the capstone project, as well as a pathway for monetization for aspiring game developers.
California Institute of the Arts
Stemming from the principles of storytelling and design established in CalArts’ renowned Animation programs, this Specialization lays a primary foundation for experimentation and exploration of video game design, story, character development, and winning gameplay before programming begins. These four courses emphasize the self-reliance and personal expression of the gaming artist, and encourage you to take conceptual risks and develop new modes of expression and form through gaming. In the final Capstone Project, you’ll put your creative skills to work by generating an engaging game design document for a personal game project, outlining the conceptual, narrative and aesthetic elements of your game.
Johns Hopkins University
This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics. To audit Genomic Data Science courses for free, visit https://www. coursera.org/jhu, click the course, click Enroll, and select Audit.
Google
This five-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. If you’ve been tinkering with IT or are new to the field, you’re at the right place. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Check out this video to learn more. Upon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, H & R Block, Hulu, J.M. Smucker, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, UPMC, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. Through a mix of video lectures, quizzes, and hand-on labs and widgets, the program will introduce you to troubleshooting and customer service, networking, operating systems, system administration and security. Along the way, you’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating 8-10 hours a week, you can complete the certificate in about eight months. You can skip through content that you might already know and speed ahead to the graded assessments. The content in the Google IT Support Professional Certificate is licensed under a Creative Commons Attribution 4.0 International License.
University of Colorado System
Homeland security is about safeguarding the United States from domestic catastrophic destruction. Cybersecurity has emerged as a priority homeland security concern because a coordinated cyber attack against critical infrastructure could result in the worst catastrophe in the nation’s history. This specialization examines the cybersecurity problem, and takes a close look at what is being done to safeguard the United States from domestic catastrophic destruction by cyber attack. At the conclusion of this course, we hope learners grasp the central message that cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction.
IBM
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
IBM
This specialization is intended for application developers and network administrators seeking to understand the benefits of microservices architecture and container-based applications. The student learns how to develop and deploy microservices applications with Kubernetes on IBM Cloud and IBM Cloud Private via a continuous release pipeline.
University of Minnesota
This specialization provides a robust introduction to the key principles and practices of Information Systems Management. The first course describes how Information Systems address business problems. This takes the form of an IT alignment model that describes how Information Systems provide capabilities that enable or support organizational strategy. This component also includes an economic analysis of the Information System. The second course in the specialization entails the practice of modeling information systems. The goal of this course is to describe the Information System defined in the first course, so that the Information System can be developed. The third course provides an overview of the capabilities of modern enterprise systems. The goal of this course is to understand the capabilities of enterprise systems, so that the firm can decide if the requirement identified in the second course can be met by an enterprise system. Managerial aspects related to the selection and implementation of enterprise systems will also be discussed. The fourth course in the specialization describes the IT infrastructure choices available to a modern enterprise and the tradeoffs associated with each alternative. Any large Information System implementation is a significant organizational change initiative that requires careful stewardship. All the courses will deal with the issue of change management and discuss strategies and approaches for achieving a successful implementation.
Google Cloud
This three-course specialization introduces you to the design principles, installation steps and operational procedures required to successfully adopt the Apigee API Platform On-Premises. Through a combination of video lectures, hands on labs, and supplemental materials, you’ll learn how to design Apigee topologies, install, manage and upgrade platform. As well as how to conduct post installation and recurrent activities corresponding to security, monitoring, scaling and troubleshooting. This specialization is intended for Operations Engineers and Architects responsible for the installation and management of Apigee API Platform On-Premises.
University of California San Diego
You will learn how to design technologies that bring people joy, rather than frustration. You’ll learn how to generate design ideas, techniques for quickly prototyping them, and how to use prototypes to get feedback from other stakeholders like your teammates, clients, and users. You’ll also learn principles of visual design, perception, and cognition that inform effective interaction design.
University of Colorado System
Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, students will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove useful to those who are new to cybersecurity, and those with some experience.
New York University Tandon School of Engineering
Introduction to Cyber Security was designed to help learners develop a deeper understanding of modern information and system protection technology and methods. The learning outcome is simple: We hope learners will develop a lifelong passion and appreciation for cyber security, which we are certain will help in future endeavors. Students, developers, managers, engineers, and even private citizens will benefit from this learning experience. Special customized interviews with industry partners were included to help connect the cyber security concepts to live business experiences.
Duke University
This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields. Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.
Rice University
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
Duke University
Take your first step towards a career in software development with this introduction to Java-one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
University of Washington
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
New York University Tandon School of Engineering
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance. The specialization aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) mapping the problem on a general landscape of available ML methods, (2) choosing particular ML approach(es) that would be most appropriate for resolving the problem, and (3) successfully implementing a solution, and assessing its performance. The specialization is designed for three categories of students: · Practitioners working at financial institutions such as banks, asset management firms or hedge funds · Individuals interested in applications of ML for personal day trading · Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance. The modules can also be taken individually to improve relevant skills in a particular area of applications of ML to finance.
Google Cloud
What is machine learning, and what kinds of problems can it solve? What are the five phases of converting a candidate use case to be driven by machine learning, and why is it important that the phases not be skipped? Why are neural networks so popular now? How can you set up a supervised learning problem and find a good, generalizable solution using gradient descent and a thoughtful way of creating datasets? Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform. > By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <
Johns Hopkins University
This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.
Imperial College London
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics – stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require basic Python and numpy knowledge. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.
University of Amsterdam
Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.
Northwestern University
This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Students with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Students’ understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each student to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.
Google Cloud
This specialization gives participants broad study of core infrastructure and networking options on Google Cloud Platform. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN. The specialization will also cover common network design patterns and automated deployment using Deployment Manager. This class is intended for the following participants: â— Network Engineers and Admins who are either using Google Cloud Platform or are planning to do so â— Individuals who want to be exposed to software-defined networking solutions in the cloud. To get the most out of this course, participants should have: *Prior understanding of the OSI 7-layer model *Prior understanding of IPv4 addressing *Prior experience with managing IPv4 routes
University of California San Diego
This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. You’ll also practice critically evaluating your own code, and you’ll build technical communication skills that will help you prepare for job interviews and collaborative work as a software engineer. In the final Capstone Project, you’ll apply your skills to analyze data collected from a real-world (social) network. Google has contributed real-world projects and the involvement of its engineers as guest lecturers to these courses. A small, select group of top learners who complete the Specialization will be offered practice interviews with Google recruiters. Invitation to a practice interview does not guarantee an actual interview or employment.
Duke University & University of California San Diego
This Specialization is for aspiring software developers with some programming experience in at least one other programming language (e.g, Python, C, JavaScript, etc.) who want to be able to solve more complex problems through objected-oriented design with Java. In addition to learning Java, you will gain experience with two Java development environments (BlueJ and Eclipse), learn how to program with graphical user interfaces, and learn how to design programs capable of managing large amounts of data. These software engineering skills are broadly applicable across wide array of industries.
Palo Alto Networks
The Palo Alto Networks Cybersecurity Specialization prepares students for entry level careers in cybersecurity, with an emphasis on administering the Palo Alto Networks Next Generation Firewall. All courses also map learning objectives to the U.S. NIST/NICE framework and cybersecurity work roles. The Specialization project requires that students demonstrate fundamental networking and skills learned in configuring the Palo Alto Networks firewall including but not limited to the following: create and analyze packet captures using Wireshark; initially configure firewall interfaces and zones; creating a firewall zero-trust environment with zones, security policies, and NAT; and decrypting SSH traffic through decryption policies. Completing the 5 course track as well as the labs will help prepare you to compete for the PCCSA certification, available through PearsonVue on-site or online proctored. Please visit this site to further prepare for the PCCSA and other Palo Alto Networks certifications. https://www. paloaltonetworks.com/services/education/certification
Stanford University
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.
University of California, Irvine
This specialization introduces the Go programming language from Google and provides learners with an overview of Go’s special features. Upon completing the three-course sequence, learners will have gained the knowledge and skills needed to create concise, efficient, and clean applications using Go.
University of Michigan
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
University of Minnesota
This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative techniques. Designed to serve both the data mining expert and the data literate marketing professional, the courses offer interactive, spreadsheet-based exercises to master different algorithms along with an honors track where learners can go into greater depth using the LensKit open source toolkit. A Capstone Project brings together the course material with a realistic recommender design and analysis project.
University of London
This Specialization covers the basics of modern full stack web development, from UX design, to front-end coding, to custom databases. You’ll build foundational skills in a full range of technologies, including HTML/CSS, Javascript, and MongoDB, and you’ll learn to implement a reactive, multi-user web application using the meteor. js framework. We’ll also touch on more advanced topics, such as APIs, data visualization, and animation.
University of Pennsylvania
The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects.
Johns Hopkins University
This Specialization covers the fundamentals of web development with Ruby on Rails. You’ll learn everything you need to develop your own web application using Ruby on Rails, SQL and NoSQL databases, and HTML/CSS, and Javascript. We will also touch on advanced topics such as security, services using HTTP/RESTful access patterns, and user access and user experience from multiple device platforms. In the final Capstone Project, you’ll apply your skills to develop a web application that hosts uploaded photos and displays them using a map.
University of Alberta
In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation. Practical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.
University of Minnesota
This Specialization is designed for people who are new to software engineering. It’s also for those who have already developed software, but wish to gain a deeper understanding of the underlying context and theory of software development practices. At the end of this Specialization, we expect learners to be able to: 1.) Build high-quality and secure software using SDLC methodologies such as agile, lean, and traditional/waterfall. 2.) Analyze a software development team’s SDLC methodology and make recommendations for improvements. 3.) Compare and contrast software development methodologies with respect to environmental, organizational, and product constraints.
University of Alberta
In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management
Duke University
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis. You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.
California Institute of the Arts
The UI/UX Design Specialization brings a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective, rather than on one focused on marketing or programming alone. In this sequence of four courses, you will summarize and demonstrate all stages of the UI/UX development process, from user research to defining a project’s strategy, scope, and information architecture, to developing sitemaps and wireframes. You’ll learn current best practices and conventions in UX design and apply them to create effective and compelling screen-based experiences for websites or apps. User interface and user experience design is a high-demand field, but the skills and knowledge you will learn in this Specialization are applicable to a wide variety of careers, from marketing to web design to human-computer interaction. Learners enrolled in the UI/UX Design Specialization are eligible for an extended free trial (1 month) of a full product suite of UX tools from Optimal Workshop. Details are available in Course 3 of the Specialization, Web Design: Strategy and Information Architecture.
Unity
This is Unity’s official series of courses designed to prepare you for the Unity Certified 3D Artist exam, the certification for entry- to mid-level 3D artists who work with the Unity platform. This series of courses is for 3D Artists who have used Unity for real-time rendering for 1-2 years, and are ready to bring their existing skills up to a professional standard.
Unity
This is Unity’s official series of courses designed to prepare you for the Unity Certified Programmer exam, the certification for entry- to mid-level Unity programmers. You’ll gain practice and experience in each of the topics covered in the exam through hands-on problem solving challenges. You’ll build two complete Unity projects end-to-end, implementing core interactivity, supporting systems, and platform optimizations This series of courses is for Unity programmers with 1-2 years of experience who are ready to bring their existing skills up to a professional standard.
Unity
Welcome to Unity’s Expert Gameplay Programming Specialization! This Specialization is test-prep for the Unity Certified Expert: Gameplay Programmer exam. This Specialization includes 5 courses designed to challenge you with a series of realistic programming problems in Unity video-game projects, the kind true gameplay programming experts face every day. Each challenge is inspired by one or more of the topics covered in the Expert Gameplay Programmer exam, and by the end of this Specialization you will have had extensive, guided practice in the programming skills needed to pass this exam. This Specialization is intended for industry game developers or very experienced Unity enthusiasts who are looking to “level-up” their gameplay programming and implementation strategies. You should have at least 2-3 years of experience developing games with Unity, be familiar with the full-game lifecycle (working from early concept to launch), creating and working with Prefabs, understanding game asset and animation pipelines, and have some experience with Unity Services. You should also have advanced programming skills, particularly in the C# language.
Unity
Welcome to the world of Unity XR! This specialization includes three courses which will explain the technologies that make XR possible, describe the unique UX concerns around developing for XR, and walk you through developing VR and AR apps for mobile devices. You will learn how Unity supports the many components of a VR app, including tracking, teleporting, interacting with virtual objects, positional audio, and much more. You’ll also see how Unity’s AR Foundation supports building handheld AR apps. XR is a field that is constantly evolving, and we’ll show you what’s on the horizon for VR and AR.
University of Michigan
Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step.
University of Minnesota
In this Specialization, you will learn industry-standard theory and methods for developing successful user interfaces (UIs). Upon completing this Specialization, you will have fluency with the user research, prototyping and evaluation techniques necessary for creating intuitive interfaces that facilitate good user experiences. You will also have demonstrated this fluency through an in-depth Capstone Project that can be shown to prospective employers in the fast-growing field of UI design. Concepts and techniques covered include structured approaches for helping you understand your user base and their needs (e.g. contextual inquiry and design psychology), widely-employed prototyping and design methods (e.g. low-fidelity and paper prototyping), and robust techniques for helping you evaluate your design choices (e.g. heuristic evaluation and user studies). By the end of the Specialization, you will be comfortable applying these concepts and techniques to design an interface for a wide variety of users from around the world.
University of London
This specialisation from the University of London will introduce you to virtual reality. Virtual reality is one of the most highly requested skill sets in the jobs market, and this specialisation will give you an introduction to the subject and key skills in the field. You will hear from world-leading lecturers and industry experts, use Unity to develop your own VR environment, and end the specialisation by creating your first VR game.
University of Michigan
This specialization is a basic introduction to building web applications, and is an excellent starting point for learners who already have a basic understanding of programming, HTML, and CSS. In Web Applications for Everybody, learners will be introduced to web and database applications in PHP, using SQL for database creation, as well as functionality in JavaScript, jQuery, and JSON. This specialization (and its prerequisites) will prepare learners with no experience in programming or technology for an entry level web developer position in PHP.
University of Michigan
This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high quality web sites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.
University of Toronto
Master Swift, design elegant interactions, and create a fully functioning iOS app. This Specialization covers the fundamentals of iOS application development in the Swift programming language. You’ll learn to use development tools such as XCode, design interfaces and interactions and evaluate their usability, and integrate camera, photo, and location information to enhance your app. In the final Capstone Project, you’ll apply your skills to create a fully-functioning photo editing app for iPhone, iPad, and Apple Watch. A Mac computer is required for success in this course.
University of California, Irvine
This Specialization focuses on the basics of iOS application development. You’ll gain the skills you need to create your own app, including fluency in Objective-C and UIKit and SpriteKit user interface concepts, and you’ll learn to leverage networking, security, audio, video, location, and sensor frameworks. In the final Capstone Project, you’ll apply your skills to create a networked game that leverages sensors on the phone to create a unique gaming experience, and that you can showcase in job applications and interviews or offer in the iTunes store.
Johns Hopkins University
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
University of Colorado Boulder
In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment. You’ll encounter market sizes and opportunities, operating systems, networking concepts, many security topics, how to plan, staff and execute a project plan, sensors, file systems and how storage devices work, machine learning and big data analytics, an introduction to SystemC, techniques for debugging deeply embedded systems, promoting technical ideas within a company and learning from failures. In addition, students will learn several key business concepts important for engineers to understand, like CapEx (capital expenditure) for buying a piece of lab equipment and OpEx (operational expense) for rent, utilities and employee salaries.
University of California, Irvine
The Esports Management Specialization prepares students to turn a passion for gaming into a viable career. According to a market report by Newzoo, global esports revenues have reached $906 million in 2018, a year-on-year growth of +38%. Speak knowledgeably about the history, community, and business of esports with future employers and other stakeholders in the industry. Individuals aspiring to launch or already beginning their career in the business of esports. This program suits game developers, finance professionals, community managers, marketers, and project managers. Overview of esports will introduce learners to the roles and influences that game developers have in the industry. Learners get a glimpse into the structures of an organization and how it builds a brand. Learners will also be informed of the jobs available in esports and where to get started in order to be involved.
University of London
This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.
University of Michigan
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
Google Cloud
Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure GCP solution, including Cloud Identity, the GCP Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud CDN, Cloud Storage access control technologies, Stackdriver, Security Keys, Customer-Supplied Encryption Keys, the Google Data Loss Prevention API, and Cloud Armor. Participants learn mitigations for attacks at many points in a GCP-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms of service <<<
University of Toronto
Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You’ll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).
Imperial College London
Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around. This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019. The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.
University of Michigan
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.
University of Colorado System
This specialization is intended for intermediate level learners with basic programming skills and basic cybersecurity knowledge. Through this course learner will learn about advanced secure software techniques such as those for cloud computing, TOR, web-based cryptography, and geo-location/context based access control. With these techniques, learners will be better prepared to implement new security and privacy preserving data security features, to perform secure system design and implementation, vulnerability analysis, and Securely Provision (SP), Operate and Maintain (OM), Oversee and Govern (OV), Protect and Defend (PR), Analyze (AN), Collect and Operate (CO), and investigate (IN) tasks.
The State University of New York
This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www. mathworks.com/learn/tutorials/matlab-onramp. html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). To learn more, check out a video overview at https://youtu. be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks.
Google Cloud
The Architecting with Google Kubernetes Engine specialization will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.
SAS
When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.
University of Pennsylvania
Wharton’s Fintech Specialization is designed to introduce you to the fundamental building blocks of financial technologies and real-world applications through case studies of Wharton-led companies in the field. You’ll learn the the essential components of technology-driven financial strategies, from complex regulations to cryptocurrency to portfolio optimization. You’ll also learn how modern investment strategies deploy technology to produce optimal results, explore the disruptive force of changing payment methods, analyze the changing regulatory landscape, and gain a deeper understanding of robo-advising, crowdfunding, peer-to-peer lending, and blockchain. By the end of this Specialization, you’ll be able to make informed decisions about deploying financial technologies for yourself or for your business, giving you a competitive advantage in using the latest financial innovations.
deeplearning.ai
Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July.
IE Business School
This Specialization aims to make branding concepts accessible to every learner and to teach them to analyze and apply all the relevant concepts, using the broad and diverse toolkit of branding. It provides you with the necessary tools so that you are able to understand the brand behavior, understand the language of a brand and learn about the rational and emotional elements behind brands. It also attempts to make you understand the language of images. The amount of audiovisual content we receive today makes it hard for brands to break through that noise. It ends up teaching how to understand branding efforts in the context of customer experience. We must think in a strategic manner when creating brands. Branding is about co-creation and conversation between the audiences, customers and users. What is relevant is how people out there perceive and live the brand. Brands are the story, the personality and the culture of an organization; the intangible elements that form it.
IBM
Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student – understanding AI, its impact and transformative potential for your organization and our society is of paramount importance. This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks. Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios. By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.
Cloudera
This Specialization teaches the essential skills for working with large-scale data using SQL. Maybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches-Hive and Impala.
Michigan State University
In this beginner focused specialization we will show you the essentials of 2d and 3d game art production as well as concept art for games and current gen game art workflow. While each of the four courses will build your knowledge of the practice of game art, each module is a self contained unit designed to teach a specific area. By the end of the Specialization, you will have a thorough knowledge of the creation of high-quality game art assets. Through these courses, you will be using Maya, Unity, Photoshop, Sketchup, ZBrush, Marmoset Toolbag, and Substance Painter.
IBM
There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst. This specialization will provide you with the basics you need to get started. Throughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyber attacks and basics of networking. You will also gain knowledge around important topics such as cryptography and digital forensics. This specialty is truly an international offering from IBM with experts from the United States, Costa Rica, Canada and Italy. These instructors are architects, Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day to day lives at IBM. They will share their skills which they need to secure IBM and its clients security systems.
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