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
IBM Corporation via Coursera
- Alex Aklson, Data Scientist
- 2-3 hours a week, 3 weeks long
- Average User Rating 4.4
Microsoft via edX
- Graeme Malcolm, Liberty J. Munson
- 2-4 hours a week, 6 weeks long
- More Details
via Udemy
Introduction to Big Data
Microsoft via edX
- Graeme Malcolm
- 3-4 hours a week, 3 weeks long
- More Details
Microsoft via edX
- Graeme Malcolm , Steve Elston, Cynthia Rudin
- 3-4 hours a week, 6 weeks long
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
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
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
IBM Corporation via Coursera
- Alex Aklson, Data Scientist
- 2-3 hours a week, 3 weeks long
- Average User Rating 4.0
Microsoft via edX
- Graeme Malcolm, Senior Content Developer
- 3-4 hours a week, 4 weeks long
Massachusetts Institute of Technology via edX
- John Guttag, Eric Grimson, Ana Bell
- 15 Hours a week, 10 weeks long
IBM Corporation via Coursera
- Alex Aklson, Data Scientist
- 6-7 hours a week, 5 weeks long
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.
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
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
QUT via Coursera
- Tomasz Bednarz, Kerrie Mengersen
- 2 hours a week, 3 weeks long
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics, Harvard University
- 2-4 hours a week, 4 weeks long
Duke University via Coursera
- Daniel Egger, Paul Bendich
- 3-5 hours a week, 4 weeks long
- Average User Rating 4.5
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
Johns Hopkins University via Coursera
- Kasper Daniel Hansen, PhD, Assistant Professor
- 4 weeks long
- Average User Rating 4.0
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
Johns Hopkins University via Coursera
- Jeff Leek, Kasper Daniel Hansen
- 2-4 hours a week, 8 weeks long
- Average User Rating 4.5
University of California San Diego via Coursera
- Beth Simon, Associate Teaching Professor
- 3-5 hours a week, 4 weeks long
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics
- 15-20 hours a week, 2 weeks long
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
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
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
Georgia Institute of Technology via Coursera
- Dr. Surya Kalidindi
- 2-3 hours a week, 5 weeks long
- Average User Rating 4.2
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
University of Michigan via Coursera
via Udemy
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
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
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
University of Michigan via Coursera
- Christopher Brooks
- 4 weeks long
- Average User Rating 4.5
via Udemy
Rice University via Coursera
IBM via Coursera
- Rav Ahuja, Data Science Program Manager
- 2-4 hours a week, 3-4 weeks long
- Average User Rating 4.5
IBM via Coursera
University of Toronto via Coursera
- Jennifer Campbell, Paul Gries
- 5 weeks long
- Average User Rating 4.6
Massachusetts Institute of Technology via edX
- John Guttag, Eric Grimson, Ana Bell
- 15 hours a week, 9 weeks long
Johns Hopkins University via Coursera
University of Michigan via Coursera
- Charles Severance
- 2-4 Hours a week, 7 weeks long
- Average User Rating 4.3
Microsoft via edX
- Anders Stockmarr, Jonathan Sanito
- 4-8 hours a week, 6 weeks long
Johns Hopkins University via Coursera
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
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics
- 2-4 hours a week, 4 weeks Long
- More details
IBM via Coursera
The University of California, San Diego via edX
- Ilkay Altintas, Leo Porter
- 8-10 hours a week, 10 weeks Long
University of California, Davis via Coursera
- Sadie St. Lawrence
- 3-5 Hours a week, 4 weeks long
- Average User Rating 4.3
University of Adelaide via edX
- Katrina Falkner, Claudia Szabo, Nick Falkner
- 8-10 hours a week, 10 weeks Long
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
Harvey Mudd College via edX
- Zachary Dodds, Professor, Computer Science
- 5-7 hours a week, 14 weeks long
Microsoft via edX
- Authman Apatira, Jonathan Sanito
- 8-9 hours a week, 6 weeks long
- More details
Microsoft via edX
- Anders Stockmarr, Jonathan Sanito
- 4-8 hours a week, 6 weeks long
- More details
Johns Hopkins University via Coursera
Microsoft via edX
- Filip Schouwenaars, Jonathan Sanito
- 2-4 hours a week, 6 weeks long
via udemy
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
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
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics
- 2-4 hours a week, 4 weeks long
Johns Hopkins University via Coursera
- Jeff Leek, PhD, Associate Professor
- 4 weeks long
- Average User Rating 4.1
University of Notre Dame via edX
- Dan Myers, Professor of Sociology
- 4-6 hours a week, 9 weeks Long
Columbia University via edX
- Andrew Gelman, David Madigan, Lauren Hannah, Eva Ascarza, James Curley, Tian Zheng
- 7-10 hours a week, 5 weeks Long
Harvard University via edX
- Rafael Irizarry, Michael Love
- 2-4 hours a week, 4 weeks long
Harvard University via edX
- Rafael Irizarry, Michael Love
- 2-4 hours a week, 4 weeks long
Harvard University via edX
- Rafael Irizarry, Michael Love
- 2-4 hours a week, 4 weeks long
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
via Udemy
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
Johns Hopkins University via Coursera
- Brian Caffo PhD, Professor Biostatistics
- 3-5 hours a week, 4 weeks long
- Average User Rating 4.5
Johns Hopkins University via Coursera
- Brian Caffo PhD, Professor Biostatistics
- 4 weeks long
- Average User Rating 4.1
KIx: Karolinska Institutet via edX
- Andreas Montelius, Peter Lönnerberg, Mikael Huss, Matilda Utbult
- 8 hours a week
Johns Hopkins University via Coursera
- Brian Caffo, Roger D. Peng, Jeff Leek
- 4 weeks long
- Average User Rating 4.1
Kyoto University via edX
- Ryo Yamada, Professor of Statistical Genetics
- 2-3 hours a week, 4 weeks Long
Osaka University via edX
- Ayumi Shintani, Endowed Professor
- 3-5 hours a week, 6 weeks long
- More details
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
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics
- 2-4 hours a week, 4 weeks long
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
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
Johns Hopkins University via Coursera
- Brian Caffo PhD, Professor Biostatistics
- 1-2 hours a week, 6 weeks long
- Average User Rating 4.4
Johns Hopkins University via Coursera
- Brian Caffo PhD, Professor Biostatistics
- 1-2 hours a week, 6 weeks long
- Average User Rating 4.7
University of Washington via Coursera
- Bill Howe, Director of Research
- 3 weeks long
- Average User Rating 3.6
IBM via Coursera
- Romeo Kienzler, Chief Data Scientist, Course Lead
- 4 weeks long
- Average User Rating 4.5
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
University of California San Diego via Coursera
- Pavel Pevzner, Phillip Compeau
- 3 weeks long
- Average User Rating 4.7
Nanjing University via Coursera
- ZHANG Li
- 3-5 Hours a week, 5 weeks long
- Average User Rating 4.4
Harvard University via edX
- Rafael Irizarry, Professor of Biostatistics
- 2-4 hours a week, 4 weeks long
The University of California, San Diego via edX
- Phillip Compeau, Pavel Pevzner
- 4-10 hours a week
Columbia University via edX
- Andrew Gelman, David Madigan, Lauren Hannah, Eva Ascarza, James Curley, Tian Zheng
- 7-10 hours a week, 5 weeks long
The University of California, San Diego via edX
- Alon Orlitsky, Yoav Freund
- 10-12 hours a week, 10 weeks long
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
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
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
Harvard University via edX
- Rafael Irizarry, Michael Love
- 2-4 hours a week, 4 weeks long
University of Adelaide via edX
- Lewis Mitchell, Simon Tuke, David Suter
- 8-10 hours a week, 10 weeks long
Harvard University via edX
- Rafael Irizarry, Michael Love
- 2-4 hours a week, 4 weeks long
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
Google Cloud via Coursera
Google Cloud via Coursera
- 8-10 hours a week, 1 week long
- Average User Rating 4.5
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
H2O via Coursera
- Darren Cook
- 6 weeks long
- Average User Rating 4.0
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
New York University Tandon School of Engineering via Coursera
- Igor Halperin
- 4 weeks long
New York University Tandon School of Engineering via Coursera
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
Google Cloud via Coursera
University of California San Diego via Coursera
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
Google Cloud via Coursera
- 8-12 hours a week, 1 week long
- Average User Rating 4.4
Google Cloud via Coursera
- 5-7 hours a week, 1 week long
- Average User Rating 4.6
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 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,
University of Washington via Coursera
- Carlos Guestrin, Emily Fox
- 5-8 hours a week, 6 weeks long
- Average User Rating 4.6
University of Washington via Coursera
- Carlos Guestrin, Emily Fox
- 5-8 hours a week, 6 weeks long
- Average User Rating 4.8
University of Michigan via Coursera
University of Washington via Coursera
- Emily Fox, Carlos Guestrin
- 5-8 hours a week, 6 weeks long
- Average User Rating 4.6
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
University of Washington via Coursera
- Emily Fox, Carlos Guestrin
- 5-8 hours a week, 7 weeks long
- Average User Rating 4.7
Stanford University via Coursera
- Daphne Koller
- 5 weeks long
- Average User Rating 4.7
Stanford University via Coursera
- Daphne Koller
- 5 weeks long
- Average User Rating 4.6
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
Yonsei University via Coursera
- Jong-Moon Chung, Professor, School of Electrical & Electronic Engineering
- 6 weeks long
- Average User Rating 4.3
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
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
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
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
The Open University, Persontyle via FutureLearn
- Sophia Knight, Michael Ashcroft, Lei You, Yuan Gao
- 4 hours a week, 4 weeks long
- More details
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