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. 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

Microsoft via edX

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

via Udemy

Microsoft via edX

Microsoft via edX

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

University of California San Diego via Coursera

University of California San Diego via Coursera

Microsoft via edX

University of California San Diego via Coursera

IBM Corporation via Coursera

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

Johns Hopkins University via Coursera

University of California San Diego via Coursera

IBM Corporation via Coursera

Microsoft via edX

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

Massachusetts Institute of Technology via edX

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

IBM Corporation via Coursera

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

Yonsei University via Coursera

The University of Edinburgh via Coursera

Icahn School of Medicine at Mount Sinai via Coursera

QUT via Coursera

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

Harvard University via edX

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

Duke University via Coursera

Johns Hopkins University via Coursera

Johns Hopkins University via Coursera

Johns Hopkins University via Coursera

Johns Hopkins University via Coursera

University of California San Diego via Coursera

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

Harvard University via edX

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

Johns Hopkins University via Coursera

University of Michigan via Coursera

Johns Hopkins University via Coursera

Georgia Institute of Technology via Coursera

University of Washington via Coursera

Best Data Science Courses – Programming

University of Michigan via Coursera

via Udemy

Purdue, The Center for Science of Information via FutureLearn

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

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

University of Toronto via Coursera

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
  • More details

University of Michigan via Coursera

via Udemy

Rice University via Coursera

IBM via Coursera

IBM via Coursera

University of Toronto via Coursera

Massachusetts Institute of Technology via edX

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

Johns Hopkins University via Coursera

University of Michigan via Coursera

Microsoft via edX

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

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

Johns Hopkins University via Coursera

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
  • More details

University of California, Davis via Coursera

University of Adelaide via edX

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

National Autonomous University of Mexico via Coursera

Microsoft via edX

  • Filip Schouwenaars, Jonathan Sanito
  • 2-3 hours a week, 4 weeks long
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Harvey Mudd College via edX

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

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
  • More details

via udemy

The Center for Science of Information, Purdue via FutureLearn

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

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

University of Amsterdam via edX

The University of Texas at Austin via edX

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

The University of Texas at Austin via edX

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

Harvard University via edX

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

Johns Hopkins University via Coursera

University of Notre Dame via edX

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

Columbia University via edX

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

Harvard University via edX

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

Harvard University via edX

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

Harvard University via edX

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

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
  • More details

QUT via Coursera

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

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
  • More details

University of Cape Town via edX

Johns Hopkins University via Coursera

Johns Hopkins University via Coursera

KIx: Karolinska Institutet via edX

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

Johns Hopkins University via Coursera

Kyoto University via edX

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

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, Checkout what learners saying

Harvard University via edX

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

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
  • More Details

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
  • More Details

Johns Hopkins University via Coursera

Johns Hopkins University via Coursera

University of Washington via Coursera

IBM via Coursera

Eindhoven University of Technology via Coursera

University of California San Diego via Coursera

Nanjing University via Coursera

Harvard University via edX

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

The University of California, San Diego via edX

Columbia University via edX

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

The University of California, San Diego via edX

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

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
  • More details

University of California, Berkeley via edX

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

Harvard University via edX

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

The Open University via edX

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

QUT via FutureLearn

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

Microsoft via edX

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

Harvard University via edX

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

Harvard University via edX

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

University of Adelaide via edX

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

Harvard University via edX

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

University of Adelaide via edX

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

Machine Learning & Deep Learning

University of California, Berkeley via edX

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

Google Cloud via Coursera

Google Cloud via Coursera

Imperial College London via Coursera

H2O via Coursera

Imperial College London via Coursera

New York University Tandon School of Engineering via Coursera

New York University Tandon School of Engineering via Coursera

Imperial College London via Coursera

Google Cloud via Coursera

University of California San Diego via Coursera

Wesleyan University via Coursera

University of Toronto via Coursera

Google Cloud via Coursera

Google Cloud via Coursera

National Research University Higher School of Economics via Coursera

National Research University Higher School of Economics via Coursera

  • Andrei Ustyuzhanin, Mikhail Hushchyn
  • 5 weeks long
  • More details

Google Cloud via Coursera

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, Checkout what learners saying

University of Washington via Coursera

University of Washington via Coursera

University of Michigan via Coursera

University of Washington via Coursera

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, Checkout what learners saying

University of Washington via Coursera

Stanford University via Coursera

Stanford University via Coursera

Stanford University via Coursera

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, Checkout what learners saying

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
  • More details

Yonsei University via Coursera

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, Checkout what learners saying

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, Checkout what learners saying

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
  • More details

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