Home Data Science 150+ Best Online Data Science & Big Data Courses

150+ Best Online Data Science & Big Data Courses

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Data Science & Big Online Courses and MOOCsWe 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

4Introduction 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

7Big 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

8Processing Big Data with Azure Data Lake Analytics

Microsoft via edX

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


Get 10% off. Learn Programming for Data Science at Udacity

University of California San Diego via Coursera

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

10Open 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

12Big 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

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

36Introduction 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

52Command 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

59Introduction 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

66Introduction 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

68Basic 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

69Foundations 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

70Foundations 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

80[Course is not Available]

QUT via Coursera

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

82[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

86[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

109Foundations 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

111Learn 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

113Analyzing Big Data with Microsoft R [Course is not Available]

Microsoft via edX

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

114Case 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

119Foundations 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


Get 10% off Machine Learning Program at Udacity

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

130Machine Learning for Data Analysis(Course no more available)

Wesleyan University via Coursera

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

131Neural 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

135Addressing 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

137Big 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

147Introduction 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

148Deep 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