school
Learn something new everyday

TOP 35 Most Popular Data Science courses on Udemy

Karthik

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. Data Scientists perform sophisticated empirical analysis to understand and make predictions about complex systems. They draw on methods and tooling from probability and statistics, mathematics, and computer science and primarily focus on extracting insights from data. They communicate results through statistical models, visualizations, and data products.

Per IBM study, By 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000.The following summary graphic from the study highlights how in-demand data science and analytics skill sets are today and are projected to be through 2020.

Data Science / Analytics Landscape / Source - IBM
Image – Data Science / Analytics Landscape / Source – IBM

In this post,we take look at courses that will help boost your career and expand your knowledge. Check them out, and start enrolling today!

Quick Snapshot

#1.Complete Data Science Training with Python for Data Analysis

Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

Requirements
  • Be Able To Use PC At A Beginner Level, Including Being Able To Install Programs
  • A Desire To Learn Data Science
  • Prior Knowledge Of Python Will Be Useful But NOT Necessary

Ratings : 4.4 (880 ratings)

#2.Data Science: Data Mining & Natural Language Processing in R

Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples

Requirements
  • Keen interest in learning about data science and data mining
  • Keen interest in mining and deriving insights from text data
  • Should have prior experience of using R and RStudio
  • Should be able to install and read in packages in R
  • Prior exposure to the principles of statistical data analysis , data visualization and summarizing in R will be beneficial but not necessary

Ratings : 4.5 (171 ratings)

#3.Tensorflow Bootcamp For Data Science in Python

Complete Tensorflow Mastery For Machine Learning & Deep Learning in Python

Requirements
  • Be Able To Operate & Install Software On A Computer
  • Prior Exposure To Python Programming Will Be Beneficial
  • Have Prior Exposure To Common Machine Learning Terms
  • Prior Exposure To Basic Statistical Concepts Will be Useful

Ratings : 4.6 (77 ratings)

#4.Data science: Machine Learning et Python

Data Science, intelligence artificielle, Python, Anaconda, Spyder, Big Data, Natural Language Processing, Arbre de dcision

Requirements
  • Aucune

Ratings : 4.5 (255 ratings)

#5.Data Science & Machine Learning using Python – A Bootcamp

A Jump start towards the most rewarding and in-demand career of Data Science and Machine Learning!

Requirements
  • A PC and passion to be successful!
  • Some experience in programming could be helpful but not required!

Ratings : 4.6 (216 ratings)

#6.Programmer en R pour la Data Science de A Z

Intresss par la Data? Apprenez faire de la Data Science et du Machine Learning avec le langage R sans pr-requis!

Requirements
  • Un ordinateur
  • Une connexion internet pour installer les outils et récupérer des jeux de données
  • Aucunes connaissances requises en programmation, je pars du début !

Ratings : 4.7 (98 ratings)

#7.End to End Data Science Practicum with Knime

Applied Data Science Concepts and Techniques with Knime and hands on examples

Requirements
  • high school math
  • being able to install software

Ratings :

#8.Corso completo di Data Science con Python

Da principiante a esperto nelle tecniche di Data Science con Python: machine learning, network neurali, text mining e.

Requirements
  • Conoscenza base di Python

Ratings : 4.2 (632 ratings)

#9.R Programming A-Z: R For Data Science With Real Exercises!

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

Requirements
  • No prior knowledge or experience needed. Only a passion to be successful!

Ratings : 4.6 (19,629 ratings)

#10.Les Data Sciences de A Z

Data Science, Business Analytics, Data Analysis, Data Mining, Tableau, Statistiques, Modlisation, Rgression, SQL, SSIS

Requirements
  • Seulement une passion pour la réussite
  • Tous les logiciels utilisés dans ce cours sont disponibles gratuitement ou en démo

Ratings : 4.4 (1,250 ratings)

#11.Tableau 10 A-Z: Hands-On Tableau Training For Data Science!

Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

Requirements
  • Basic knowledge of computers

Ratings : 4.6 (27,608 ratings)

#12.Machine Learning A-Z: Hands-On Python & R In Data Science

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

Requirements
  • Just some high school mathematics level.

Ratings : 4.5 (81,257 ratings)

#13.Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis

Requirements
  • Absolutely no experience is required. We will start from the basics and gradually build up your knowledge. Everything is in the course.
  • A willingness to learn and practice

Ratings : 4.4 (6,073 ratings)

#14.The Data Science Course 2019: Complete Data Science Bootcamp

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

Requirements
  • No prior experience is required. We will start from the very basics
  • You’ll need to install Anaconda. We will show you how to do that step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365

Ratings : 4.5 (16,658 ratings)

#15.Python fr Data Science, Maschinelles Lernen & Visualization

Data Science Grundlagen mit Python! Von Daten Analysen bis zum Machine Learning.

Requirements
  • Etwas Programmiererfahrung

Ratings : 4.3 (608 ratings)

#16.R fr Data Science, Visualisierung und Machine Learning

Grundlagen in R und R-Studio fr Data Science! Von Daten Analysen bis zum Maschinellen Lernen!

Requirements
  • Access to a computer with download rights
  • Mathematical knowledge

Ratings : 4.5 (306 ratings)

#17.Data Science Career Guide – Interview Preparation

Prepare for your Data Science Interview with this full guide on a career in Data Science including practice questions!

Requirements
  • An understanding of Probability and Statistics
  • Programming Experience in either Python or R
  • Experience in SQL
  • An understanding of Machine Learning Algorithms

Ratings : 4.4 (910 ratings)

#18.Das SQL Grundlagen Bootcamp (auch fr Data Science)

Lerne SQL mit PostgreSQL fr Data Science und Daten Analysen (auch anwendbar fr MySQL, Oracle, Microsoft, uvm.)

Requirements
  • No prior technical knowledge is required! Everything you grow up with is a computer!
  • This course is not a supplement to other SQL courses but starts at 0.
  • With SQL knowledge, this course can be a bit boring.

Ratings : 4.6 (129 ratings)

#19.Statistik und Wahrscheinlichkeiten (fr Data Science)

Lerne, wie Du Statistik und Wahrscheinlichkeiten auf praxisnahe Data Science und Business Flle anwenden kannst.

Requirements
  • Pen and paper for writing
  • Optional: Excel, R or Python for the simulations

Ratings : 4.4 (66 ratings)

#20.Spark und Python fr Big Data und Data Science mit PySpark

Lerne Apache Spark 2.3 mit Python einzusetzten (mit Machine Learning und Streaming)

Requirements
  • General programming skills in any language (preferably Python)
  • 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

Ratings : 4.2 (26 ratings)

#21.Curso completo de Machine Learning: Data Science en Python

Aprende los algoritmos de Machine Learning con Python para convertirte en un Data Science con todo el cdigo para usar

Requirements
  • Se necesitan conocimientos de matemáticas de bachillerato o conocimientos básicos de estadística
  • Se recomienda saber programar un poco para enfocarse en aprender las técnicas de análisis en Python aunque no es totalmente necesario

Ratings : 4.5 (2,224 ratings)

#22.Data Science, Apache Spark & Python: Analysiere echte Daten!

Erlebe Spark, indem du echte Daten analysierst – Geburtsstatistiken, Gletscherdaten, Taxibestellungen, .

Requirements
  • You need your own computer. In the course I’ll show you how to install all the tools you need on Windows, but the examples work 1: 1 on Mac and Linux
  • You should have already programmed something. Some programming language is enough – at the beginning of the course there is a small Python crash course where you can repeat the most important features of Python again.

Ratings : 4.5 (252 ratings)

#23.Data Science: Master Machine Learning Without Coding

Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included.

Requirements
  • Able to use a Windows computer and install software on it
  • High school math

Ratings : 4.4 (152 ratings)

#24.Python para Data Science e Machine Learning – COMPLETO

Aprenda os principais mtodos de Aprendizado de Mquina, Cincia de dados e Python neste curso COMPLETO!

Requirements
  • Programming basics
  • Basic English (due to the main datasets used and methods of Python being in English)

Ratings : 4.5 (4.051 ratings)

#25.Machine Learning von A-Z: Lerne Python & R fr Data Science!

Maschinelles Lernen komplett: Regression, Klassifizierung, Clustering, NLP & Bonus: Deep Learning / Neuronale Netze

Requirements
  • You should have already programmed a bit before
  • No knowledge in Python, nor in R is required
  • All tools needed (R, RStudio, Anaconda, …) we install together in the course

Ratings : 4.6 (872 ratings)

#26.Tableau 10: Visuelle Datenanalyse fr die Data Science

Meistere Tableau 10 und erlerne fortgeschrittene und intuitive Visualisierungstechniken fr Big Data Probleme.

Requirements
  • Experience in using the PC or Mac

Ratings : 4.3 (76 ratings)

#27.Data Science: Analyse de donnes en Python

Analyser et Visualiser des donnes en Python avec les librairies Numpy, Pandas et Matplotlib (Data Science/Python)

Requirements
  • Des notions Python est un plus mais les débutants en python sont bienvenus (des rappels python sont inclus) 🙂
  • Tout ce dont vous avez besoin : un PC, un Mac ou Linux.

Ratings : 4.6 (371 ratings)

#28.Probability for Statistics and Data Science

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

Requirements
  • Absolutely no experience is required. We will start from the basics and gradually build up your knowledge.
  • A willingness to learn and practice

Ratings : 4.2 (68 ratings)

#29.Linear Algebra for Data Science & Machine learning in Python

Learn Concepts of Linear Algebra and Implement using Python 3, Hands on Numpy, Pandas for Data Science & Linear Algebra

Requirements
  • Basic High School Math

Ratings : 4.4 (10 ratings)

#30.A Practical Guide to Alteryx for Data Science & Analytics

Step by Step Guide to Alteryx Workflow Automation for Business Analytics with Data Science & Analysis

Requirements
  • Alteryx Designer with Predictive Analytics Installed
  • Have an open mind and a desire to learn!

Ratings : 4.5 (9 ratings)

#31.Jupyter Notebook for Data Science

Collaborate, create interactive visualizations, and manipulate big data in the language of your choice.

Requirements
  • Basic understanding of Python and Jupyter Notebookis required. A basic understanding of math and statistics will come in handy.

Ratings : 4.4 (36 ratings)

#32.R Programming for Statistics and Data Science

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R

Requirements
  • You’ll need to install R Studio. We will show you how to do it in one of the first lectures of the course
  • All software and data used in the course are free.

Ratings : 4.5 (730 ratings)

#33.Machine Learning, Data Science and Deep Learning with Python

Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks

Requirements
  • You’ll need a desktop computer (Windows, Mac, or Linux) capable of running Enthought Canopy 1.6.2 or newer. The course will walk you through installing the necessary free software.
  • Some prior coding or scripting experience is required.
  • At least high school level math skills will be required.
  • This course walks through getting set up on a Microsoft Windows based desktop PC. While the code in this course will run on other operating systems, we cannot provide OS-specific support for them.

Ratings : 4.5 (14,350 ratings)

#34.Python Bootcamp: Vom Anfnger zum Profi, inkl. Data Science

Python komplett: Grundlagen, Webapps, Crawler, Numpy, Pandas, Module, OOP, IO, Machine Learning, Deep Learning.

Requirements
  • No programming skills are needed
  • A computer (Windows / Mac / Linux) with internet connection is sufficient

Ratings : 4.5 (8,676 ratings)

#35.Data Science de A a Z – Da extraao a exibio dos Dados

Aprenda Data Science com Python e tambm reas importantes como estatstica e ETL no SQL Server!

Requirements
  • Noções básicas de informática, o resto a gente ensina aqui!
  • Um pouco de SQL ajuda muito!

Ratings : 4.4 (3,534 ratings)

Additional Resources :

Like this post? Don’t forget to share it!

Summary
TOP 35 Most Popular Data Science courses on Udemy
Article Name
TOP 35 Most Popular Data Science courses on Udemy
Description
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming.In this post,we take look at courses that will help boost your career and expand your knowledge.
Author
Publisher Name
Upnxtblog
Publisher Logo
In,

Average Rating

5 Star
0%
4 Star
0%
3 Star
0%
2 Star
0%
1 Star
0%
(Add your review)

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

school Previous post TOP 22 Most Popular Deep Learning Courses on Udemy
Docker Next post How do I connect to Postgresql running on host from Docker container

More Stories