Data Science & Big Online Courses and MOOCs We have prepared a thorough list of best Online Data Science Courses along with Big Data Online Courses and MOOCs. We are trying to make it one of the best data science resources. You can also checkout data mining vs big data. In order to simplify the detailed courses list, we have categorized the best data science online courses as follows:

Introduction to Data Science & Big Data Courses

What is Data Science?

IBM Corporation via Coursera

Alex Aklson, Data Scientist
2-3 hours a week, 3 weeks long
Average User Rating 4.4

Introduction to Data Science

Microsoft via edX

Graeme Malcolm, Liberty J. Munson
2-4 hours a week, 6 weeks long
More Details

Learn Big Data : Step By Step Pig Scripting and Shell Script

via Udemy

Big Data Engineer
4 hours on-demand video
More Details

Introduction to Big Data

Microsoft via edX

Graeme Malcolm
3-4 hours a week, 3 weeks long
More Details

Data Science Essentials

Microsoft via edX

Graeme Malcolm , Steve Elston, Cynthia Rudin
3-4 hours a week, 6 weeks long

Introduction to Big Data

University of California San Diego via Coursera

Ilkay Altintas, Amarnath Gupta
5-6 hours a week, 3 weeks Long
Average User Rating 4.5

Big Data – Capstone Project (Course no more available)

University of California San Diego via Coursera

Ilkay Altintas, Amarnath Gupta
6 weeks long
Average User Rating 4.4

Processing Big Data with Azure Data Lake Analytics

Microsoft via edX

Graeme Malcolm
3-4 hours a week, 4 weeks long
More Details

Big Data Integration and Processing

University of California San Diego via Coursera

Ilkay Altintas, Amarnath Gupta
8 weeks long
Average User Rating 4.4

Open Source tools for Data Science (Course no more available)

IBM Corporation via Coursera

Polong Lin, Data Scientist
2-3 hours a week, 3 weeks Long

A Crash Course in Data Science

Johns Hopkins University via Coursera

Jeff Leek, Brian Caffo, Roger D. Peng
4-6 hours a week, 1 week long
Average User Rating 4.4

Big Data Modeling and Management Systems (Course no more available)

University of California San Diego via Coursera

Ilkay Altintas, Amarnath Gupta
2-3 hours a week, 6 weeks long
Average User Rating 4.3

Data Science Methodology

IBM Corporation via Coursera

Alex Aklson, Data Scientist
2-3 hours a week, 3 weeks long
Average User Rating 4.0

Microsoft Professional Capstone : Data Science

Microsoft via edX

Graeme Malcolm, Senior Content Developer
3-4 hours a week, 4 weeks long

Introduction to Computational Thinking and Data Science

Massachusetts Institute of Technology via edX

John Guttag, Eric Grimson, Ana Bell
15 Hours a week, 10 weeks long

Applied Data Science Capstone

IBM Corporation via Coursera

Alex Aklson, Data Scientist
6-7 hours a week, 5 weeks long

Spatial Data Science and Applications

Yonsei University via Coursera

Joon Heo, Professor
6 weeks long
Average User Rating 4.4

Our platform provides resources to help you Explore Spatial Data Education and expand your knowledge.

Data Science in Stratified Healthcare and Precision Medicine

The University of Edinburgh via Coursera

Dr Areti Manataki, Dr Frances Wong
3-4 hours a week, 5 weeks Long
Average User Rating 4.6

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

Icahn School of Medicine at Mount Sinai via Coursera

Avi Ma’ayan, PhD, Director
4-5 hours a week, 7 weeks long
Average User Rating 5.0

Big Data: from Data to Decisions

QUT via Coursera

Tomasz Bednarz, Kerrie Mengersen
2 hours a week, 3 weeks long

Data Science: Wrangling

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics, Harvard University
2-4 hours a week, 4 weeks long

Data Science Math Skills

Duke University via Coursera

Daniel Egger, Paul Bendich
3-5 hours a week, 4 weeks long
Average User Rating 4.5

Data Science Capstone

Johns Hopkins University via Coursera

Jeff Leek, Roger D. Peng, Brian Caffo
4-9 hours a week, 7 weeks long
Average User Rating 4.5

Bioconductor for Genomic Data Science

Johns Hopkins University via Coursera

Kasper Daniel Hansen, PhD, Assistant Professor
4 weeks long
Average User Rating 4.0

Executive Data Science Capstone

Johns Hopkins University via Coursera

Jeff Leek, Brian Caffo, Roger D. Peng
4-6 hours a week, 1 week long
Average User Rating 4.6

Genomic Data Science Capstone

Johns Hopkins University via Coursera

Jeff Leek, Kasper Daniel Hansen
2-4 hours a week, 8 weeks long
Average User Rating 4.5

Teaching Impacts of Technology: Data Collection, Use, and Privacy

University of California San Diego via Coursera

Beth Simon, Associate Teaching Professor
3-5 hours a week, 4 weeks long

Data Science: Capstone

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
15-20 hours a week, 2 weeks long

Building a Data Science Team

Johns Hopkins University via Coursera

Jeff Leek, Brian Caffo, Roger D. Peng
4-6 hours a week, 1 week long
Average User Rating 4.5

Data Science Ethics

University of Michigan via Coursera

H.V. Jagadish, Bernard A Galler Collegiate Professor
3-4 hours a week, 4 weeks long
Average User Rating 4.5

Data Science in Real Life

Johns Hopkins University via Coursera

Brian Caffo, Jeff Leek, Roger D. Peng
4-6 hours a week, 1 week long
Average User Rating 4.4

Materials Data Sciences and Informatics

Georgia Institute of Technology via Coursera

Dr. Surya Kalidindi
2-3 hours a week, 5 weeks long
Average User Rating 4.2

Data Science at Scale – Capstone Project

University of Washington via Coursera

Bill Howe, Director of Research
3-4 hours a week, 6 weeks long
Average User Rating 4.1

Best Data Science Courses – Programming

Programming for Everybody (Getting Started with Python)

University of Michigan via Coursera

Charles Severance
2-4 Hours a week, 7 weeks long
Average User Rating 4.8, Checkout what learners saying

Python A-Z: Python For Data Science With Real Exercises!

via Udemy

Kirill Eremenko, SuperDataScience Team
11 hours on-demand video, 2 articles
Average User Rating 4.5, Checkout what learners saying

Introduction to R for Data Science [Course is not Available]

Purdue, The Center for Science of Information via FutureLearn

Mark Daniel Ward, Yucong Zhang
4 hours a week, 4 weeks long

Managing Big Data with R and Hadoop

Partnership for Advanced Computing in Europe (PRACE) via FutureLearn

Janez Povh, Biljana Mileva Boshkoska, Leon Kos
4 hours a week, 5 weeks long
More details

Jennifer Campbell, Paul Gries
4-8 hours a week, 7 weeks long
Average User Rating 4.7,

Data Structures Fundamentals

The University of California, San Diego via edX

Daniel Kane, Alexander S. Kulikov, Michael Levin, Neil Rhodes
8-10 hours a week, 6 weeks long

Introduction to Data Science in Python

University of Michigan via Coursera

Christopher Brooks
4 weeks long
Average User Rating 4.5

Automate the Boring Stuff with Python Programming

via Udemy

Al Sweigart
9.5 hours on-demand video
Average User Rating 4.6, Checkout what learners saying

An Introduction to Interactive Programming in Python (Part 1)

Rice University via Coursera

John Greiner, Stephen Wong, Scott Rixner, Joe Warren
7-10 Hours a week, 5 weeks long
Average User Rating 4.8, Checkout wA-hat learners saying

Databases and SQL for Data Science

IBM via Coursera

Rav Ahuja, Data Science Program Manager
2-4 hours a week, 3-4 weeks long
Average User Rating 4.5

Python for Data Science

IBM via Coursera

Joseph Santarcangelo, Rav Ahuja
5 weeks long
Average User Rating 4.8, Checkout what learners saying

Learn to Program: Crafting Quality Code

University of Toronto via Coursera

Jennifer Campbell, Paul Gries
5 weeks long
Average User Rating 4.6

Introduction to Computer Science and Programming Using Python

Massachusetts Institute of Technology via edX

John Guttag, Eric Grimson, Ana Bell
15 hours a week, 9 weeks long

Python for Genomic Data Science

Johns Hopkins University via Coursera

Mihaela Pertea PhD, Steven Salzberg PhD
4 weeks long
Average User Rating 4.3, Checkout what learners saying

Python Data Structures

University of Michigan via Coursera

Charles Severance
2-4 Hours a week, 7 weeks long
Average User Rating 4.3

Programming in R for Data Science

Microsoft via edX

Anders Stockmarr, Jonathan Sanito
4-8 hours a week, 6 weeks long

Genomic Data Science with Galaxy

Johns Hopkins University via Coursera

James Taylor, PhD, Associate Professor of Biology and Computer
4 weeks long
Average User Rating 3.6, Checkout what learners saying

Complete Python Bootcamp: Go from zero to hero in Python 3

via Udemy

Jose Portilla, Pierian Data International
24 hours on-demand video, 18 articles, 19 coding excercises
Average User Rating 4.5, Checkout what learners saying

Command Line Tools for Genomic Data Science [Course is not Available]

Johns Hopkins University via Coursera

Liliana Florea, PhD, Assistant Professor
4 weeks long
Average User Rating 4.2, Checkout what learners saying

Data Science: R Basics

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
2-4 hours a week, 4 weeks Long

IBM via Coursera

Joseph Santarcangelo, Rav Ahuja
5 weeks long

Python for Data Science

The University of California, San Diego via edX

Ilkay Altintas, Leo Porter
8-10 hours a week, 10 weeks Long

SQL for Data Science

University of California, Davis via Coursera

Sadie St. Lawrence
3-5 Hours a week, 4 weeks long
Average User Rating 4.3

Programming for Data Science

University of Adelaide via edX

Katrina Falkner, Claudia Szabo, Nick Falkner
8-10 hours a week, 10 weeks Long

Introducción a Data Science: Programación Estadística con R

National Autonomous University of Mexico via Coursera

Carlos Ernesto López Natarén , Academic Technician
3-5 hours a week, 4 weeks long
Average User Rating 4.7

Introduction to R for Data Science

Microsoft via edX

Filip Schouwenaars, Jonathan Sanito
2-3 hours a week, 4 weeks long

CS For All: Introduction to Computer Science and Python Programming

Harvey Mudd College via edX

Zachary Dodds, Professor, Computer Science
5-7 hours a week, 14 weeks long

Programming with Python for Data Science

Microsoft via edX

Authman Apatira, Jonathan Sanito
8-9 hours a week, 6 weeks long
More details

Programming in R for Data Science

Microsoft via edX

Anders Stockmarr, Jonathan Sanito
4-8 hours a week, 6 weeks long
More details

R Programming

Johns Hopkins University via Coursera

Roger D. Peng, Jeff Leek, Brian Caffo
4 weeks long
Average User Rating 4.6, Checkout what learners saying

Introduction to Python for Data Science

Microsoft via edX

Filip Schouwenaars, Jonathan Sanito
2-4 hours a week, 6 weeks long

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

via udemy

Kirill Eremenko, SuperDataScience Team
10.5 hours on-demand video, 2 articles
Average User Rating 4.6, Checkout what learners saying

Introduction to R for Data Science [Course is not Available]

The Center for Science of Information, Purdue via FutureLearn

Mark Daniel Ward, Yucong Zhang
4 hours a week, 4 weeks long

Scratch to Python: Moving from Block- to Text-based Programming

Raspberry Pi via FutureLearn

Marc Scott, Caitlyn Merry, Rik Cross, Martin O’Hanlon
2 hours a week, 4 weeks Long
More details

Data Science – Statistics & Data Analysis

Basic Statistics [Course is not Available]

University of Amsterdam via edX

Matthijs Rooduijn, Emiel van Loon
week 1: 3-6 hours, week 2-8: 1-3 hours/week
Average User Rating 4.7, Checkout what learners saying

Foundations of Data Analysis – Part 1: Statistics Using R [Course is not Available]

The University of Texas at Austin via edX

Michael J. Mahometa, Lecturer and Senior Statistical Consultant
3–6 hours a week, 6 weeks long

Foundations of Data Analysis – Part 2: Inferential Statistics [Course is not Available]

The University of Texas at Austin via edX

Michael J. Mahometa, Lecturer and Senior Statistical Consultant
3–6 hours a week, 6 weeks Long

Data Science: Probability

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
2-4 hours a week, 4 weeks long

Statistics for Genomic Data Science

Johns Hopkins University via Coursera

Jeff Leek, PhD, Associate Professor
4 weeks long
Average User Rating 4.1

I “Heart” Stats: Learning to Love Statistics

University of Notre Dame via edX

Dan Myers, Professor of Sociology
4-6 hours a week, 9 weeks Long

Statistical Thinking for Data Science and Analytics

Columbia University via edX

Andrew Gelman, David Madigan, Lauren Hannah, Eva Ascarza, James Curley, Tian Zheng
7-10 hours a week, 5 weeks Long

Statistics and R

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Statistical Inference and Modeling for High-throughput Experiments

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Data Science: Linear Regression

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Statistics for Business – I

Indian Institute of Management Bangalore via edX

Shankar Venkatagiri, Faculty Member in the Quantitative Methods & Information Systems
2-4 hours a week, 5 weeks Long

Big Data: Statistical Inference and Machine Learning

[Course is not Available]

QUT via Coursera

Kerrie Mengersen, Professor, Deputy Director
2 hours a week, 3 weeks Long

Data to Insight: An Introduction to Data Analysis

[Course is not Available]

The University of Auckland via Coursera

Chris Wild, Tracey Meek, Mike Forster
3 hours a week, 8 weeks Long
More details

Workshop in Probability and Statistics

via Udemy

George Ingersoll
21.5 hours on-demand video, 1 article, 14 supplment resources
Average User Rating 4.3, checkout what learners saying

Computational Probability and Inference

Massachusetts Institute of Technology via edX

Lizhong Zheng, Gregory W. Wornell, Polina Golland, George H. Chen
4-6 hours a week, 12 weeks Long

Understanding Clinical Research: Behind the Statistics

[Course is not Available]

University of Cape Town via edX

Juan H Klopper
2-3 hours a week, 6 weeks long
Average User Rating 4.7

Mathematical Biostatistics Boot Camp 1

Johns Hopkins University via Coursera

Brian Caffo PhD, Professor Biostatistics
3-5 hours a week, 4 weeks long
Average User Rating 4.5

Mathematical Biostatistics Boot Camp 2

Johns Hopkins University via Coursera

Brian Caffo PhD, Professor Biostatistics
4 weeks long
Average User Rating 4.1

Explore Statistics with R

KIx: Karolinska Institutet via edX

Andreas Montelius, Peter Lönnerberg, Mikael Huss, Matilda Utbult
8 hours a week

Statistical Inference

Johns Hopkins University via Coursera

Brian Caffo, Roger D. Peng, Jeff Leek
4 weeks long
Average User Rating 4.1

Introduction to Statistical Methods for Gene Mapping

Kyoto University via edX

Ryo Yamada, Professor of Statistical Genetics
2-3 hours a week, 4 weeks Long

Introduction to Applied Biostatistics: Statistics for Medical Research

Osaka University via edX

Ayumi Shintani, Endowed Professor
3-5 hours a week, 6 weeks long
More details

Exploring and Producing Data for Business Decision Making

University of Illinois at Urbana-Champaign via Coursera

Fataneh Taghaboni-Dutta, Clinical Professor of Business Administration
4-6 hours a week, 4 weeks long
Average User Rating 4.8

Data Science: Inference and Modeling

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
2-4 hours a week, 4 weeks long

Introduction to Probability – The Science of Uncertainty

Massachusetts Institute of Technology via edX

Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, Jimmy Li, Qing He, Dimitri Bertsekas, Zied Ben Chaouch, Patrick Jaillet, John Tsitsiklis
12 hours a week, 18 weeks long

Probability – The Science of Uncertainty and Data

Massachusetts Institute of Technology via edX

Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, Jimmy Li, Qing He, Dimitri Bertsekas, Eren Can Kizildag, Patrick Jaillet, John Tsitsiklis
10-14 hours a week, 16 weeks long

Advanced Linear Models for Data Science 1: Least Squares

Johns Hopkins University via Coursera

Brian Caffo PhD, Professor Biostatistics
1-2 hours a week, 6 weeks long
Average User Rating 4.4

Advanced Linear Models for Data Science 2: Statistical Linear Models

Johns Hopkins University via Coursera

Brian Caffo PhD, Professor Biostatistics
1-2 hours a week, 6 weeks long
Average User Rating 4.7

Communicating Data Science Results

University of Washington via Coursera

Bill Howe, Director of Research
3 weeks long
Average User Rating 3.6

Fundamentals of Scalable Data Science

IBM via Coursera

Romeo Kienzler, Chief Data Scientist, Course Lead
4 weeks long
Average User Rating 4.5

Process Mining: Data science in Action

Eindhoven University of Technology via Coursera

Wil van der Aalst, Professor dr.ir.
3-5 hours a week, 6 weeks long
Average User Rating 4.8

Genomic Data Science and Clustering (Bioinformatics V)

University of California San Diego via Coursera

Pavel Pevzner, Phillip Compeau
3 weeks long
Average User Rating 4.7

Data Processing Using Python

Nanjing University via Coursera

ZHANG Li
3-5 Hours a week, 5 weeks long
Average User Rating 4.4

Data Science: Productivity Tools

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
2-4 hours a week, 4 weeks long

Introduction to Genomic Data Science

The University of California, San Diego via edX

Phillip Compeau, Pavel Pevzner
4-10 hours a week

Statistical Thinking for Data Science and Analytics

Columbia University via edX

Andrew Gelman, David Madigan, Lauren Hannah, Eva Ascarza, James Curley, Tian Zheng
7-10 hours a week, 5 weeks long

Probability and Statistics in Data Science using Python

The University of California, San Diego via edX

Alon Orlitsky, Yoav Freund
10-12 hours a week, 10 weeks long

Enabling Technologies for Data Science and Analytics: The Internet of Things

Columbia University via edX

Fred Jiang, Julia Hirschberg, Michael Collins, Shih-Fu Chang, Zoran Kostic, Kathy McKeown
7-10 hours a week, 5 weeks long

Foundations of Data Science: Inferential Thinking by Resampling [Course is not Available]

University of California, Berkeley via edX

Ani Adhikari, John DeNero, David Wagner
4-6 hours a week, 6 weeks long

Data Science: Visualization

Harvard University via edX

Rafael Irizarry, Professor of Biostatistics
2-4 hours a week, 4 weeks long

Learn to Code for Data Analysis [Course is not Available]

The Open University via edX

Michel Wermelinger, Rob Griffiths, Tony Hirst
5 hours a week, 4 weeks long

Big Data: Data Visualisation

QUT via FutureLearn

Tomasz Bednarz, Steven Psaltis
2 hours a week, 3 weeks long
More details

Analyzing Big Data with Microsoft R [Course is not Available]

Microsoft via edX

Jonathan Sanito, Seth Mottaghinejad
2-4 hours a week, 4 weeks long

Case Studies in Functional Genomics

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Introduction to Linear Models and Matrix Algebra

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Big Data Analytics

University of Adelaide via edX

Lewis Mitchell, Simon Tuke, David Suter
8-10 hours a week, 10 weeks long

High-Dimensional Data Analysis

Harvard University via edX

Rafael Irizarry, Michael Love
2-4 hours a week, 4 weeks long

Computational Thinking and Big Data

University of Adelaide via edX

Lewis Mitchell, Simon Tuke, Markus Wagner
8-10 hours a week, 10 weeks long

Machine Learning & Deep Learning

Foundations of Data Science: Prediction and Machine Learning [Course is not Available]

University of California, Berkeley via edX

Ani Adhikari, John DeNero, David Wagner
4-6 hours a week, 5 weeks long

Launching into Machine Learning

Google Cloud via Coursera

1 week long
Average User Rating 4.5, Checkout what learners saying

How Google does Machine Learning

Google Cloud via Coursera

8-10 hours a week, 1 week long
Average User Rating 4.5

Mathematics for Machine Learning: Multivariate Calculus

Imperial College London via Coursera

Samuel J. Cooper, David Dye, A. Freddie Page
2-5 hours a week, 6 weeks long
Average User Rating 4.5

Practical Machine Learning on H2O

H2O via Coursera

Darren Cook
6 weeks long
Average User Rating 4.0

Mathematics for Machine Learning: Linear Algebra

Imperial College London via Coursera

David Dye, Samuel J. Cooper, A. Freddie Page
2-5 hours a week, 5 weeks long
Average User Rating 4.7

Fundamentals of Machine Learning in Finance

New York University Tandon School of Engineering via Coursera

Igor Halperin
4 weeks long

Guided Tour of Machine Learning in Finance

New York University Tandon School of Engineering via Coursera

Igor Halperin
4 weeks long
Average User Rating 3.4, Checkout what learners saying

Mathematics for Machine Learning: PCA

Imperial College London via Coursera

Marc P. Deisenroth, Lecturer in Statistical Machine Learning
4-5 hours a week, 4 weeks long
Average User Rating 4.1

Art and Science of Machine Learning

Google Cloud via Coursera

5-7 hours a week, 3 weeks long
Average User Rating 4.8, Checkout what learners saying

Machine Learning With Big Data

University of California San Diego via Coursera

Mai Nguyen, Ilkay Altintas
3-5 hours a week, 5 Weeks long
Average User Rating 4.5, Checkout what learners saying

Machine Learning for Data Analysis(Course no more available)

Wesleyan University via Coursera

Jen Rose, Lisa Dierker
4 weeks long
Average User Rating 4.1

Neural Networks for Machine Learning [Course is not Available]

University of Toronto via Coursera

Geoffrey Hinton
5 hours a week
Average User Rating 4.6, Checkout what learners saying

Serverless Machine Learning with Tensorflow on Google Cloud Platform

Google Cloud via Coursera

8-12 hours a week, 1 week long
Average User Rating 4.4

Applying Machine Learning to your Data with GCP

Google Cloud via Coursera

5-7 hours a week, 1 week long
Average User Rating 4.6

Bayesian Methods for Machine Learning

National Research University Higher School of Economics via Coursera

Daniil Polykovskiy, Alexander Novikov
6 hours a week, 6 weeks long
Average User Rating 4.5

Addressing Large Hadron Collider Challenges by Machine Learning

National Research University Higher School of Economics via Coursera

Andrei Ustyuzhanin, Mikhail Hushchyn
5 weeks long

Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud via Coursera

6-10 hours a week, 1 week long
Average User Rating 4.6

Big Data Applications: Machine Learning at Scale

Yandex via Coursera

Vladimir Lesnichenko, Pavel Mezentsev , Emeli Dral, Alexey A. Dral, Ilya Trofimov, Evgeny Frolov
6-8 hours a week, 5 weeks long
Average User Rating 4.1,

Machine Learning Foundations: A Case Study Approach

University of Washington via Coursera

Carlos Guestrin, Emily Fox
5-8 hours a week, 6 weeks long
Average User Rating 4.6

Machine Learning: Regression

University of Washington via Coursera

Carlos Guestrin, Emily Fox
5-8 hours a week, 6 weeks long
Average User Rating 4.8

Applied Machine Learning in Python

University of Michigan via Coursera

Kevyn Collins-Thompson, Associate Professor
4 weeks long
Average User Rating 4.6, Checkout what learners saying

Machine Learning: Clustering & Retrieval

University of Washington via Coursera

Emily Fox, Carlos Guestrin
5-8 hours a week, 6 weeks long
Average User Rating 4.6

Structuring Machine Learning Projects

deeplearning.ai via Coursera

Andrew Ng, Head Teaching Assistant – Kian Katanforoosh, Teaching Assistant – Younes Bensouda Mourri
3-4 hours a week, 2 weeks long
Average User Rating 4.8

Machine Learning: Classification

University of Washington via Coursera

Emily Fox, Carlos Guestrin
5-8 hours a week, 7 weeks long
Average User Rating 4.7

Probabilistic Graphical Models 1: Representation

Stanford University via Coursera

Daphne Koller
5 weeks long
Average User Rating 4.7

Probabilistic Graphical Models 2: Inference

Stanford University via Coursera

Daphne Koller
5 weeks long
Average User Rating 4.6

Probabilistic Graphical Models 3: Learning

Stanford University via Coursera

Daphne Koller
5 weeks long
Average User Rating 4.6

Introduction to Deep Learning [Course is not Available]

National Research University Higher School of Economics via Coursera

Evgeny Sokolov, Andrei Zimovnov, Alexander Panin, Ekaterina Lobacheva, Nikita Kazeev
6-10 hours a week, 6 weeks long
Average User Rating 4.4

Deep Learning in Computer Vision

National Research University Higher School of Economics via Coursera

Anton Konushin, Senior Lecturer; Alexey Artemov, Senior Lecturer
2-4 hours a week, 5 weeks long

Deep Learning for Business

Yonsei University via Coursera

Jong-Moon Chung, Professor, School of Electrical & Electronic Engineering
6 weeks long
Average User Rating 4.3

Neural Networks and Deep Learning

deeplearning.ai via Coursera

Andrew Ng, Head Teaching Assistant – Kian Katanforoosh, Teaching Assistant – Younes Bensouda Mourri
3-6 hours a week, 4 weeks long
Average User Rating 4.9

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

deeplearning.ai via Coursera

Andrew Ng, Head Teaching Assistant – Kian Katanforoosh, Teaching Assistant – Younes Bensouda Mourri
3-6 hours a week, 3 weeks long
Average User Rating 4.9

Applied AI with Deep Learning

IBM via Coursera

Romeo Kienzler, Niketan Pansare, Tom Hanlon, Max Pumperla, Ilja Rasin
4-6 hours a week, 4 weeks long
Average User Rating 4.5, Checkout what learners saying

Machine Learning for Data Science and Analytics

Columbia University via edX

Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz
7-10 hours a week, 5 weeks long

Advanced Machine Learning

The Open University, Persontyle via FutureLearn

Sophia Knight, Michael Ashcroft, Lei You, Yuan Gao
4 hours a week, 4 weeks long
More details

Deep Learning A-Z™: Hands-On Artificial Neural Networks

via udemy

Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
23 hours on-demand videos, 22 articles
Average User Rating 4.4, Checkout what learners saying

150+ Best Online Data Science & Big Data Courses