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:
- Data Science and Big Data – Miscellaneous
- Best Data Science Courses – Programming
- Data Science – Data Analysis and Visualization
- Machine Learning & Deep Learning
- Learn to Program: Crafting Quality Code
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
Learn to Program: The Fundamentals
- Jennifer Campbell, Paul Gries
- 4-8 hours a week, 7 weeks long
- Average User Rating 4.7, Checkout rwhat learners saying
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
- More details
Python for Data Science
IBM via Coursera
- Joseph Santarcangelo, Rav Ahuja
- 5 weeks long
- More details
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