In this article, I compiled over 600 online courses offered by the 50 best universities in the world for studying computer science in 2022.

I built the list using a data-driven approach. You can find my methodology below. But if you’d rather go straight to the course list, click here.

Methodology

First, I identified the leading world university rankings. Since I was interested in computer science specifically, I looked at their latest computer science rankings. Here are the ones I used:

• Times Higher Education: World University Ranking 2022 — Computer Science
• QS: World University Ranking 2021 — Computer Science and IT
• Shanghai Ranking: Academic Ranking of World Universities 2021 — Computer Science & Engineering

Then, I crawled and scraped each ranking. You can find the raw data in my GitHub repository.

Now that I had some data, I used Jupyter with Python to process it. I combined the three rankings into one by averaging the position of each university in each ranking. Then, I filtered out the universities that didn’t offer online courses, and I limited the list to the top-50 institutions — the cream of the crop.

As you can see above, I found that the top three institutions are #1 MIT, #2 Stanford, and #3 Carnegie Mellon. You can also find my Jupyter Notebook in my GitHub repo.

Finally, I used the Class Central database, with its 50K online courses, to find all the computer science courses offered by the universities in the ranking.

The end result is a list of over 600 online courses offered by the 50 best universities in the world for studying computer science in 2022.

Notable Computer Science Courses

Unsurprisingly, some of the courses in the list are also some of the best online courses of all time. You can find these top courses below. They’re all fantastic options.

• Programming for Everybody (Getting Started with Python) from University of Michigan ★★★★★(34440)
• Computing in Python I: Fundamentals and Procedural Programming from Georgia Institute of Technology ★★★★★(211)
• Machine Learning from Stanford University ★★★★★(378)
• Learn to Program: The Fundamentals from University of Toronto ★★★★★(109)
• Information Systems Auditing, Controls and Assurance from The Hong Kong University of Science and Technology ★★★★★(285)
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(67)
• Cryptography I from Stanford University ★★★★★(53)
• Internet History, Technology, and Security from University of Michigan ★★★★★(41)
• Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(66)
• CS50’s Introduction to Computer Science from Harvard University ★★★★★(110)
• Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★☆(126)
• Algorithms, Part I from Princeton University ★★★★★(59)
• Mining Massive Datasets from Stanford University ★★★★★(25)
• Python for Data Science from University of California, San Diego ★★★★☆(47)
• Python and Statistics for Financial Analysis from The Hong Kong University of Science and Technology ★★★★☆(324)
• Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(27)
• Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40)
• Introduction to HTML5 from University of Michigan ★★★★☆(49)
• Introduction to Computational Thinking and Data Science from Massachusetts Institute of Technology ★★★★☆(31)

Subjects

The full list is split into subjects. Click on a subject below to go to the relevant section. Courses also in Class Central’s best online courses of all time are denoted with a star ().

• Artificial Intelligence (AI)
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Self-Driving Cars
• Computer Science
  • Algorithms and Data Structures
  • Databases
  • Bioinformatics
  • Blockchain and Cryptocurrencies
  • Human-Computer Interaction (HCI)
  • Computer Networking
• Data Science
  • Data Analysis
  • Big Data
  • Data Visualization
  • Data Mining
• Programming
  • Python
  • SQL
  • Scala
  • Java
  • C++
• Software Development
  • Web Development
  • Mobile Development
  • Game Development & Virtual Reality (VR)
• Cybersecurity
  • Network Security
  • Cryptography
• Information Technology (IT)
  • Internet of Things (IoT)
  • Healthcare Informatics
  • Cloud Computing & DevOps

With over 600 courses to pick from, I hope you find something you like. But if these aren’t enough, check out Class Central’s catalog of over 50K online courses.

Artificial Intelligence Courses (23)

• CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(30)
• Introduction to Artificial Intelligence from Stanford University ★★★★☆(26)
• Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)
• Structuring Machine Learning Projects from deeplearning.ai ★★★★★(3)
• Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)
• CS50’s Introduction to Artificial Intelligence with Python from Harvard University ★★★★★(2)
• Autonomous Mobile Robots from ETH Zurich ★★★★★(2)
• Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology
• Probabilistic Graphical Models 3: Learning from Stanford University
• Artificial Intelligence (Fall 2010) from Massachusetts Institute of Technology
• The Battlecode Programming Competition (January IAP 2013) from Massachusetts Institute of Technology
• The Society of Mind (Fall 2011) from Massachusetts Institute of Technology
• AI Applications in Marketing and Finance from University of Pennsylvania
• AI Strategy and Governance from University of Pennsylvania
• AI Fundamentals for Non-Data Scientists from University of Pennsylvania
• AI Applications in People Management from University of Pennsylvania
• Artificial Intelligence from Georgia Institute of Technology
• Machine Learning from Georgia Institute of Technology
• Artificial Intelligence Planning from University of Edinburgh
• Implementation Strategies: AI and Cognitive Computing from The University of British Columbia
• 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation from Peking University
• Machine Learning Course – CS 156 from California Institute of Technology
• Bias and Discrimination in AI from Université de Montréal

Machine Learning Courses (47)

• Machine Learning from Stanford University ★★★★★(378)
• Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40) 
• Introduction to Machine Learning Course from Stanford University ★★★★☆(21)
• Machine Learning: Regression from University of Washington ★★★★★(20)
• Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
• Mathematics for Machine Learning: Multivariate Calculus from Imperial College London ★★★★★(9)
• Machine Learning: Classification from University of Washington ★★★★★(8)
• Machine Learning Fundamentals from University of California, San Diego ★★★★☆(7)
• Applied Machine Learning in Python from University of Michigan ★★★★☆(6)
• Machine Learning from Georgia Institute of Technology ★★★★☆(6)
• Sequence Models from deeplearning.ai ★★★★★(4)
• Machine Learning: Clustering & Retrieval from University of Washington ★★★★★(4)
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization from deeplearning.ai ★★★★★(3)
• Deep Learning for Natural Language Processing from University of Oxford ★★★★★(1)
• Quantum Machine Learning from University of Toronto ★★★★★(1)
• Machine Learning with Python: from Linear Models to Deep Learning from Massachusetts Institute of Technology
• Machine Learning for Data Science and Analytics from Columbia University
• Reinforcement Learning from Brown University
• Machine Learning: Unsupervised Learning from Brown University
• Machine Learning With Big Data from University of California, San Diego
• Guided Tour of Machine Learning in Finance from New York University (NYU)
• Practical Predictive Analytics: Models and Methods from University of Washington
• Mathematics for Machine Learning: PCA from Imperial College London
• Fundamentals of Machine Learning in Finance from New York University (NYU)
• Reinforcement Learning in Finance from New York University (NYU)
• Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU)
• Fundamentals of TinyML from Harvard University
• Applications of TinyML from Harvard University
• Deploying TinyML from Harvard University
• Machine Learning for Healthcare (Spring 2019) from Massachusetts Institute of Technology
• Introduction to Machine Learning in Sports Analytics from University of Michigan
• Data Science: Machine Learning and Predictions from University of California, Berkeley
• Deploying Machine Learning Models from University of California, San Diego
• Design Thinking and Predictive Analytics for Data Products from University of California, San Diego
• FA17: Machine Learning from Georgia Institute of Technology
• Machine Learning for Accounting with Python from University of Illinois at Urbana-Champaign
• Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
• Machine Learning Algorithms with R in Business Analytics from University of Illinois at Urbana-Champaign
• Machine Learning from The University of Texas at Austin
• Big Data Machine Learning | 大数据机器学习 from Tsinghua University
• Statistical Machine Learning from Carnegie Mellon University
• Recommender Systems: Behind the Screen from Université de Montréal
• Applied Text Mining in Python from University of Michigan
• Python Project: pillow, tesseract, and opencv from University of Michigan
• Getting started with TensorFlow 2 from Imperial College London
• Customising your models with TensorFlow 2 from Imperial College London
• Probabilistic Deep Learning with TensorFlow 2 from Imperial College London

Deep Learning Courses (9)

• Neural Networks and Deep Learning from deeplearning.ai ★★★★★(15)
• Convolutional Neural Networks from deeplearning.ai ★★★★★(8)
• 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology ★★★★☆(3)
• Deep Learning in Life Sciences – Spring 2021 from Massachusetts Institute of Technology
• MIT 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology
• [New] Deep Learning Methods for Healthcare from University of Illinois at Urbana-Champaign
• [New] Advanced Deep Learning Methods for Healthcare from University of Illinois at Urbana-Champaign
• Deep Learning Lecture Series from University College London
• Deep Learning Essentials from Université de Montréal

Computer Vision Courses (9)

• Robotics: Perception from University of Pennsylvania
• Convolutional Neural Networks for Visual Recognition (Spring 2017) from Stanford University
• Robotics: Vision Intelligence and Machine Learning from University of Pennsylvania
• Deep Learning for Computer Vision from University of Michigan
• Features and Boundaries from Columbia University
• Camera and Imaging from Columbia University
• 3D Reconstruction – Multiple Viewpoints from Columbia University
• 3D Reconstruction – Single Viewpoint from Columbia University
• Visual Perception from Columbia University

Self-Driving Cars Courses (6)

• 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology ★★★★☆(2)
• Introduction to Self-Driving Cars from University of Toronto ★★★★★(1)
• State Estimation and Localization for Self-Driving Cars from University of Toronto
• Visual Perception for Self-Driving Cars from University of Toronto
• Motion Planning for Self-Driving Cars from University of Toronto
• Self-Driving Cars with Duckietown from ETH Zurich

Computer Science Courses (63)

• Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★☆(126)
• CS50’s Introduction to Computer Science from Harvard University ★★★★★(110) 
• Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(66)
• Internet History, Technology, and Security from University of Michigan ★★★★★(41)
• Computer Science 101 from Stanford University ★★★★☆(19)
• Computer Hardware and Operating Systems from New York University (NYU) ★★★★★(10)
• CS50’s Understanding Technology from Harvard University ★★★★★(6)
• CS50’s Computer Science for Business Professionals from Harvard University ★★★★★(6)
• Computer Graphics from University of California, San Diego ★★★★☆(6)
• Computer Architecture from Princeton University ★★★★☆(6)
• Advanced Operating Systems from Georgia Institute of Technology ★★★★★(6)
• Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
• Basics of Computing and Programming from New York University (NYU) ★★★★☆(5)
• Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(5)
• Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(4)
• Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)
• Networks: Friends, Money, and Bytes from Princeton University ★★★★☆(3)
• Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
• CS50’s Computer Science for Lawyers from Harvard University ★★★★★(1)
• CS50’s AP® Computer Science Principles from Harvard University ★★★★★(1)
• Compilers from Stanford University ★★★★★(1)
• Introduction to Electrical Engineering and Computer Science I (Spring 2011) from Massachusetts Institute of Technology ★★★★★(1)
• Computer Science: Programming with a Purpose from Princeton University ★★★★★(1)
• High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)
• Software Engineering: Introduction from The University of British Columbia ★★★★★(1)
• Software Construction: Data Abstraction from The University of British Columbia
• Software Construction: Object-Oriented Design from The University of British Columbia
• Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne
• Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology
• Usable Security from University of Maryland, College Park
• Software Development Capstone Project from The University of British Columbia
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign
• Hardware Security from University of Maryland, College Park
• Performance Engineering of Software Systems (Fall 2018) from Massachusetts Institute of Technology
• Introduction to Computer Science and Programming (Spring 2011) from Massachusetts Institute of Technology
• Mathematics for Computer Science (Spring 2015) from Massachusetts Institute of Technology
• Introduction to Computer Science and Programming in Python (Fall 2016) from Massachusetts Institute of Technology
• Introduction to Computational Thinking and Data Science (Fall 2016) from Massachusetts Institute of Technology
• Introduction to Computer Science and Programming (Fall 2008) from Massachusetts Institute of Technology
• Multicore Programming Primer (January IAP 2007) from Massachusetts Institute of Technology
• MIT 6.824 Distributed Systems (Spring 2020) from Massachusetts Institute of Technology
• Advanced Software Construction in Java from Massachusetts Institute of Technology
• Hacker Tools from Massachusetts Institute of Technology
• Computational Thinking for Problem Solving from University of Pennsylvania
• Compilers: Theory and Practice from Georgia Institute of Technology
• GT – Refresher – Advanced OS from Georgia Institute of Technology
• Accessible Gamification from Georgia Institute of Technology
• Supercomputing from Partnership for Advanced Computing in Europe
• 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization from The Chinese University of Hong Kong
• 离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong
• 操作系统原理（Operating Systems） from Peking University
• 计算机组成 Computer Organization from Peking University
• 数据结构基础 from Peking University
• 操作系统与虚拟化安全 from Peking University
• LAFF – On Programming for Correctness from The University of Texas at Austin
• LAFF-On Programming for High Performance from The University of Texas at Austin
• Generative Modelling from National University of Singapore
• Performative Modelling from National University of Singapore
• Procedural Modelling from National University of Singapore
• Distributed Systems from University of Cambridge
• Electrical and Computer Engineering – ECE 252 from University of Waterloo
• [New] Fundamentals of Qualitative Research Methods from Yale University
• Introduction to Quantum Information from Korea Advanced Institute of Science and Technology

Algorithms and Data Structure Courses (74)

• Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(67) 
• Algorithms, Part I from Princeton University ★★★★★(59) 
• Algorithmic Toolbox from University of California, San Diego ★★★★☆(23)
• Algorithms, Part II from Princeton University ★★★★★(21)
• Automata Theory from Stanford University ★★★★☆(20)
• Data Structures from University of California, San Diego ★★★★☆(15)
• Design of Computer Programs from Stanford University ★★★★☆(14)
• How to Code: Simple Data from The University of British Columbia ★★★★☆(14)
• Data Structures and Performance from University of California, San Diego ★★★★☆(6)
• Analysis of Algorithms from Princeton University ★★★★☆(6)
• Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)
• Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology ★★★★★(4)
• Programming Languages, Part B from University of Washington ★★★★☆(4)
• Algorithms on Graphs from University of California, San Diego ★★★★☆(3)
• Algorithmic Design and Techniques from University of California, San Diego ★★★★☆(3)
• The Beauty and Joy of Computing – AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
• Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps from Georgia Institute of Technology ★★★★★(2)
• Programming Languages, Part C from University of Washington ★★★★☆(2)
• Object-Oriented Data Structures in C++ from University of Illinois at Urbana-Champaign ★★★★☆(2)
• How to Code: Complex Data from The University of British Columbia ★★★★★(2)
• Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)
• Algorithm Design and Analysis from University of Pennsylvania ★★★★☆(1)
• Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
• Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms from Georgia Institute of Technology ★★★★☆(1)
• Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★(1)
• Data Structures and Algorithm Design Part II | 数据结构与算法设计(下) from Tsinghua University ★★★★★(1)
• Algorithms on Strings from University of California, San Diego
• Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign
• Advanced Algorithms (COMPSCI 224) from Harvard University
• Algorithms: Design and Analysis, Part 1 from Stanford University
• Algorithms: Design and Analysis, Part 2 from Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University
• Graph Search, Shortest Paths, and Data Structures from Stanford University
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
• Introduction to Algorithms (Fall 2011) from Massachusetts Institute of Technology
• Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
• Design and Analysis of Algorithms (Spring 2015) from Massachusetts Institute of Technology
• Programming for the Puzzled (January IAP 2018) from Massachusetts Institute of Technology
• Algorithmic Lower Bounds: Fun with Hardness Proofs (Fall 2014) from Massachusetts Institute of Technology
• Advanced Data Structures (Spring 2012) from Massachusetts Institute of Technology
• Geometric Folding Algorithms: Linkages, Origami, Polyhedra (Fall 2012) from Massachusetts Institute of Technology
• Data Structures and Software Design from University of Pennsylvania
• مربع الأدوات الخوارزمية from University of California, San Diego
• The Beauty and Joy of Computing (CS Principles), Part 4 from University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley
• The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 3 from University of California, Berkeley
• String Processing and Pattern Matching Algorithms from University of California, San Diego
• Graph Algorithms from University of California, San Diego
• NP-Complete Problems from University of California, San Diego
• Data Structures Fundamentals from University of California, San Diego
• Computer Science: Algorithms, Theory, and Machines from Princeton University
• Алгоритмы, часть I from Princeton University
• Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms from Georgia Institute of Technology
• Introduction to Graduate Algorithms from Georgia Institute of Technology
• Ordered Data Structures from University of Illinois at Urbana-Champaign
• Unordered Data Structures from University of Illinois at Urbana-Champaign
• 离散优化算法篇 Solving Algorithms for Discrete Optimization from The Chinese University of Hong Kong
• Solving Algorithms for Discrete Optimization from University of Melbourne
• Basic Modeling for Discrete Optimization from University of Melbourne
• Advanced Modeling for Discrete Optimization from University of Melbourne
• 算法设计与分析(高级) | Advanced Design and Analysis of Algorithms from Peking University
• 算法基础 from Peking University
• 高级数据结构与算法 from Peking University
• 算法设计与分析 Design and Analysis of Algorithms from Peking University
• Optimization: principles and algorithms – Network and discrete optimization from École Polytechnique Fédérale de Lausanne
• Optimization: principles and algorithms – Unconstrained nonlinear optimization from École Polytechnique Fédérale de Lausanne
• Optimization: principles and algorithms – Linear optimization from École Polytechnique Fédérale de Lausanne
• Data Structures and Algorithms (IV) from Tsinghua University
• Data Structures and Algorithms (III) from Tsinghua University
• Data Structures and Algorithms (II) from Tsinghua University
• Data Structures and Algorithms (I) from Tsinghua University
• 计算几何 | Computational Geometry from Tsinghua University
• Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) from Tsinghua University

Databases Courses (19)

• Using Databases with Python from University of Michigan ★★★★★(3650)
• Database Systems – Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) from Cornell University ★★★★☆(2)
• Introduction to Database Queries from New York University (NYU) ★★★★★(2)
• Introduction to Structured Query Language (SQL) from University of Michigan ★★★★★(1)
• Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)
• Advanced Database Administration from New York University (NYU) ★★★★★(1)
• Advanced Database Queries from New York University (NYU) ★★★★★(1)
• Databases: JSON Data from Stanford University
• Databases: Modeling and Theory from Stanford University
• Databases: OLAP and Recursion from Stanford University
• Databases: Semistructured Data from Stanford University
• Databases: Indexes and Transactions from Stanford University
• Databases: Unified Modeling Language from Stanford University
• Databases: On-Line Analytical Processing from Stanford University
• Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
• Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
• Uso de bancos de dados com Python from University of Michigan
• Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
• Uso de bases de datos con Python from University of Michigan

Bioinformatics Courses (18)

• Finding Hidden Messages in DNA (Bioinformatics I) from University of California, San Diego ★★★★★(17)
• DCO042 – Python For Informatics from University of Michigan ★★★★★(14)
• Genome Sequencing (Bioinformatics II) from University of California, San Diego ★★★★★(4)
• Quantitative Biology Workshop from Massachusetts Institute of Technology ★★★★★(3)
• Comparing Genes, Proteins, and Genomes (Bioinformatics III) from University of California, San Diego ★★★★★(2)
• Genomic Data Science and Clustering (Bioinformatics V) from University of California, San Diego ★★★★☆(2)
• Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego
• Hacking COVID-19 — Course 2: Decoding SARS-CoV-2’s Secrets from University of California, San Diego
• Dynamic Programming: Applications In Machine Learning and Genomics from University of California, San Diego
• Finding Mutations in DNA and Proteins (Bioinformatics VI) from University of California, San Diego
• Molecular Evolution (Bioinformatics IV) from University of California, San Diego
• Introduction to Genomic Data Science from University of California, San Diego
• Algorithms and Data Structures Capstone from University of California, San Diego
• Graph Algorithms in Genome Sequencing from University of California, San Diego
• Plant Bioinformatics Capstone from University of Toronto
• Plant Bioinformatics from University of Toronto
• 生物信息学: 导论与方法 from Peking University
• Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 from Peking University

Blockchain and Cryptocurrency Courses (9)

• Blockchain and Money (Fall 2018) from Massachusetts Institute of Technology ★★★★★(2)
• Cryptocurrency Engineering and Design (Spring 2018) from Massachusetts Institute of Technology
• MIT MAS.S62 Cryptocurrency Engineering and Design, Spring 2018 from Massachusetts Institute of Technology
• Cryptocurrency and Blockchain: An Introduction to Digital Currencies from University of Pennsylvania
• Blockchain and Cryptocurrency Explained from University of Michigan
• Bitcoin and Cryptocurrencies from University of California, Berkeley
• Blockchain Technology from University of California, Berkeley
• Introduction to Blockchain Technology and Applications from University College London
• Blockchain Scalability and its Foundations in Distributed Systems from The University of Sydney

Human-Computer Interaction Courses (7)

• Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology ★★★★★(9)
• Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology ★★★★★(3)
• Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology ★★★★★(2)
• Human-Computer Interaction III: Ethics, Needfinding & Prototyping from Georgia Institute of Technology ★★★★★(1)
• Input and Interaction from University of California, San Diego
• Human-Computer Interaction from Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology

Computer Networking Courses (5)

• Introduction to Networking from New York University (NYU) ★★★★☆(18)
• Software Defined Networking from Princeton University ★★★★☆(7)
• Network Function Virtualization from Georgia Institute of Technology
• Сетевое администрирование: от теории к практике from Tsinghua University
• iLabX – The Internet Masterclass from Technische Universität München (Technical University of Munich)

Data Science Courses (38)

• Python for Data Science from University of California, San Diego ★★★★☆(47) 
• Introduction to Computational Thinking and Data Science from Massachusetts Institute of Technology ★★★★☆(31) 
• Statistics and R from Harvard University ★★★★☆(20)
• Data Science: R Basics from Harvard University ★★★★★(11)
• Data Science: Machine Learning from Harvard University ★★★★☆(4)
• Data Science: Visualization from Harvard University ★★★★★(3)
• Applied Social Network Analysis in Python from University of Michigan ★★★★☆(3)
• Data Science: Wrangling from Harvard University ★★★★★(2)
• Data Science: Probability from Harvard University ★★★★☆(2)
• Data Science: Computational Thinking with Python from University of California, Berkeley ★★★★★(2)
• Research Data Management and Sharing from The University of North Carolina at Chapel Hill ★★★★☆(2)
• Data Science: Inference and Modeling from Harvard University ★★★★☆(1)
• Data Science: Productivity Tools from Harvard University ★★★★★(1)
• Data Manipulation at Scale: Systems and Algorithms from University of Washington
• Data Analysis: Statistical Modeling and Computation in Applications from Massachusetts Institute of Technology
• Communicating Data Science Results from University of Washington
• Data Science: Linear Regression from Harvard University
• Statistical Thinking for Data Science and Analytics from Columbia University
• Probability and Statistics in Data Science using Python from University of California, San Diego
• Introduction to Data Science in Python from University of Michigan
• Data Science: Capstone from Harvard University
• Collaborative Data Science for Healthcare from Massachusetts Institute of Technology
• Capstone Exam in Statistics and Data Science from Massachusetts Institute of Technology
• Data Science Ethics from University of Michigan
• Data Science: Inferential Thinking through Simulations from University of California, Berkeley
• Code Free Data Science from University of California, San Diego
• Data Analytics for Business from Georgia Institute of Technology
• [New] Health Data Science Foundation from University of Illinois at Urbana-Champaign
• Statistical Predictive Modelling and Applications from University of Edinburgh
• Data Science in Stratified Healthcare and Precision Medicine from University of Edinburgh
• Predictive Analytics using Machine Learning from University of Edinburgh
• 人群与网络 from Peking University
• 医学统计学与SPSS软件（基础篇） from Peking University
• Dealing With Missing Data from University of Maryland, College Park
• Combining and Analyzing Complex Data from University of Maryland, College Park
• Data Science: A New Way of Thinking | 数据科学导论 from Tsinghua University
• Data Science for Construction, Architecture and Engineering from National University of Singapore
• Statistical Computing with R – a gentle introduction from University College London

Data Analysis Courses (32)

• Foundations of Data Analysis – Part 1: Statistics Using R from The University of Texas at Austin ★★★★☆(7)
• People Analytics from University of Pennsylvania ★★★★☆(5)
• Introduction to Analytics Modeling from Georgia Institute of Technology ★★★★☆(5)
• High-Dimensional Data Analysis from Harvard University ★★★★☆(3)
• Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University ★★★★★(3)
• Framework for Data Collection and Analysis from University of Maryland, College Park ★★★★☆(3)
• Introduction to Accounting Data Analytics and Visualization from University of Illinois at Urbana-Champaign ★★★★★(2)
• Foundations of Data Analysis – Part 2: Inferential Statistics from The University of Texas at Austin ★★★★☆(2)
• The Analytics Edge (Spring 2017) from Massachusetts Institute of Technology ★★★★★(1)
• Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign
• Data Analysis Essentials from Imperial College London
• Successfully Evaluating Predictive Modelling from University of Edinburgh
• Computing for Data Analysis from Georgia Institute of Technology
• Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
• Qualitative Research Methods: Data Coding and Analysis from Massachusetts Institute of Technology
• Data Analysis Using Python from University of Pennsylvania
• Sampling People, Networks and Records from University of Michigan
• Foundations of Sports Analytics: Data, Representation, and Models in Sports from University of Michigan
• Prediction Models with Sports Data from University of Michigan
• Moneyball and Beyond from University of Michigan
• Meaningful Predictive Modeling from University of California, San Diego
• Data Modeling and Regression Analysis in Business from University of Illinois at Urbana-Champaign
• Tools for Exploratory Data Analysis in Business from University of Illinois at Urbana-Champaign
• Applying Data Analytics in Accounting from University of Illinois at Urbana-Champaign
• Exploration et production de données pour les entreprises from University of Illinois at Urbana-Champaign
• Data Analytics in Accounting Capstone from University of Illinois at Urbana-Champaign
• Introduction to Predictive Analytics using Python from University of Edinburgh
• [New] Foundations of Data Analytics from The Hong Kong University of Science and Technology
• [New] Mathematical Methods for Data Analysis from The Hong Kong University of Science and Technology
• Image Processing and Analysis for Life Scientists from École Polytechnique Fédérale de Lausanne
• Quantitative and Qualitative Research for Beginners from National University of Singapore
• Computational Reasoning with Microsoft Excel from National University of Singapore

Big Data Courses (17)

• Big data and Language 1 from Korea Advanced Institute of Science and Technology ★★★★☆(5)
• Big Data Integration and Processing from University of California, San Diego ★★★★☆(3)
• Big data and Language 2 from Korea Advanced Institute of Science and Technology ★★★★★(3)
• Big Data Modeling and Management Systems from University of California, San Diego
• Big Data and Education from Columbia University
• Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne
• Graph Analytics for Big Data from University of California, San Diego
• Introduction to Big Data from University of California, San Diego
• Algorithms for Big Data (COMPSCI 229r) from Harvard University
• مقدمة عن البيانات الضخمة from University of California, San Diego
• Big Data Analytics Using Spark from University of California, San Diego
• Big Data Analytics in Healthcare from Georgia Institute of Technology
• Big Data Analytics in Healthcare from Georgia Institute of Technology
• [New] Big Data Technology Capstone Project from The Hong Kong University of Science and Technology
• Advanced Big Data Systems | 高级大数据系统 from Tsinghua University
• Big Data Analytics from California Institute of Technology
• Big Data Computing with Spark from The Hong Kong University of Science and Technology

Data Visualization Courses (11)

• 3D Data Visualization for Science Communication from University of Illinois at Urbana-Champaign ★★★★★(1)
• Information Visualization: Applied Perception from New York University (NYU) ★★★★★(1)
• Information Visualization: Foundations from New York University (NYU) ★★★★★(1)
• Information Visualization: Programming with D3.js from New York University (NYU) ★★★★★(1)
• Information Visualization: Advanced Techniques from New York University (NYU) ★★★★★(1)
• Data Visualization from University of Illinois at Urbana-Champaign
• Applied Plotting, Charting & Data Representation in Python from University of Michigan
• Basic Data Processing and Visualization from University of California, San Diego
• Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript from University of Michigan
• Data Analysis and Visualization from Georgia Institute of Technology
• 数据可视化|Data Visualization from Tsinghua University

Data Mining Courses (8)

• Mining Massive Datasets from Stanford University ★★★★★(25) 
• Text Mining and Analytics from University of Illinois at Urbana-Champaign ★★★★☆(10)
• Cluster Analysis in Data Mining from University of Illinois at Urbana-Champaign
• Hadoop Platform and Application Framework from University of California, San Diego
• Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法 from Tsinghua University
• Pattern Discovery in Data Mining from University of Illinois at Urbana-Champaign
• [New] Data Mining and Knowledge Discovery from The Hong Kong University of Science and Technology
• Semantic Modelling from National University of Singapore

Programming Courses (31)

• Programming Languages, Part A from University of Washington ★★★★★(27)
• Using Python for Research from Harvard University ★★★★☆(12)
• Code Yourself! An Introduction to Programming from University of Edinburgh ★★★★☆(12)
• Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★★(10)
• Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)
• MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(7)
• Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(5)
• Programming for the Web with JavaScript from University of Pennsylvania ★★★★★(4)
• Building Web Applications in PHP from University of Michigan ★★★★★(2)
• ¡A Programar! Una introducción a la programación from University of Edinburgh ★★★★★(1)
• 计算导论与C语言基础 from Peking University ★★★★☆(1)
• Introduction à la programmation orientée objet (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
• Creative Coding from New York University (NYU) ★★★★☆(1)
• Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(1)
• Programming with Scratch from The Hong Kong University of Science and Technology
• Interactive Computer Graphics from The University of Tokyo
• CS50’s Introduction to Programming with Scratch from Harvard University
• Quantitative Methods for Biology from Harvard University
• Minecraft, Coding and Teaching from University of California, San Diego
• برمج بنفسك! مقدمة حول البرمجة from University of Edinburgh
• 面向对象技术高级课程（The Advanced Object-Oriented Technology） from Peking University
• 程序设计基础 from Peking University
• MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
• Real-Time Audio Signal Processing in Faust from Stanford University
• Introduction To Swift Programming from University of Toronto ★☆☆☆☆(7)
• التفاعل مع لغة البرمجة جافا سكريبت from University of Michigan
• C#程序设计 from Peking University
• C程序设计进阶 from Peking University
• Introduction To MATLAB Programming (Fall 2011) from Massachusetts Institute of Technology
• Einführung in MATLAB from Technische Universität München (Technical University of Munich)
• R Programming Fundamentals from Stanford University

Python Courses (34)

• Programming for Everybody (Getting Started with Python) from University of Michigan ★★★★★(34440)
• Python Data Structures from University of Michigan ★★★★★(13098)
• Using Python to Access Web Data from University of Michigan ★★★★★(4582)
• Python and Statistics for Financial Analysis from The Hong Kong University of Science and Technology ★★★★☆(324)
• Computing in Python I: Fundamentals and Procedural Programming from Georgia Institute of Technology ★★★★★(211)
• Learn to Program: The Fundamentals from University of Toronto ★★★★★(109)
• Computing in Python IV: Objects & Algorithms from Georgia Institute of Technology ★★★★★(82)
• Computing in Python II: Control Structures from Georgia Institute of Technology ★★★★★(50)
• Computing in Python III: Data Structures from Georgia Institute of Technology ★★★★★(40)
• Python Data Structures from University of Michigan ★★★★★(7)
• Programming for Everybody: Python Data Structures from University of Michigan ★★★★★(4)
• Understanding and Visualizing Data with Python from University of Michigan ★★★★★(2)
• Inferential Statistical Analysis with Python from University of Michigan ★★★★★(1)
• Fitting Statistical Models to Data with Python from University of Michigan ★★★★★(1)
• Python Basics from University of Michigan ★★★★☆(1)
• Programación para todos (empezando con Python) from University of Michigan ★★★★☆(1)
• CS50’s Introduction to Programming with Python from Harvard University
• Introduction to Python Programming from University of Pennsylvania
• Uso de Python para Acceder a Datos Web from University of Michigan
• Estructuras de Datos con Python from University of Michigan
• Использование языка Python для доступа к веб-данным from University of Michigan
• Big Ideas in Programming: Expressing Yourself with Python from University of Michigan
• Работа с базами данных в Python from University of Michigan
• Estructuras de datos de Python from University of Michigan
• Python Functions, Files, and Dictionaries from University of Michigan
• Data Collection and Processing with Python from University of Michigan
• Programmation pour tous (mise en route de Python) from University of Michigan
• Программирование для всех (начало работы с Python) from University of Michigan
• Python Classes and Inheritance from University of Michigan
• Programación para todos (Introducción a Python) from University of Michigan
• Programação para todos (Conceitos básicos de Python) from University of Michigan
• البرمجة للجميع – بدء استخدام بايثون from University of Michigan
• Practical Python for AI Coding 1 from Korea Advanced Institute of Science and Technology
• Practical Python for AI Coding 2 from Korea Advanced Institute of Science and Technology

SQL Courses (12)

• Databases: Relational Databases and SQL from Stanford University ★★★★☆(2)
• Databases: Advanced Topics in SQL from Stanford University
• Databases: Recursion in SQL from Stanford University
• JSON and Natural Language Processing in PostgreSQL from University of Michigan
• JSON and Natural Language Processing in PostgreSQL from University of Michigan
• Database Design and Basic SQL in PostgreSQL from University of Michigan
• Intermediate PostgreSQL from University of Michigan
• Intermediate PostgreSQL from University of Michigan
• Database Design and Basic SQL in PostgreSQL from University of Michigan
• Database Design and Basic SQL in PostgreSQL from University of Michigan
• Intermediate PostgreSQL from University of Michigan
• JSON and Natural Language Processing in PostgreSQL from University of Michigan

Java Courses (10)

• Object Oriented Programming in Java from University of California, San Diego ★★★★★(16)
• Initiation à la programmation (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
• Introduction to Java Programming – Part 1 from The Hong Kong University of Science and Technology
• Inheritance and Data Structures in Java from University of Pennsylvania
• Introduction to Java and Object-Oriented Programming from University of Pennsylvania
• Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs from Georgia Institute of Technology
• Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms from Georgia Institute of Technology
• Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics from Georgia Institute of Technology
• Introduction to Java Programming – Part 2 from The Hong Kong University of Science and Technology
• Projet de programmation (en Java) from École Polytechnique Fédérale de Lausanne

Scala Courses (9)

• Functional Program Design in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(40) 
• Parallel programming from École Polytechnique Fédérale de Lausanne ★★★★☆(6)
• Functional Program Design in Scala (Scala 2 version) from École Polytechnique Fédérale de Lausanne
• Functional Programming Principles in Scala (Scala 2 version) from École Polytechnique Fédérale de Lausanne
• Effective Programming in Scala from École Polytechnique Fédérale de Lausanne
• Programming Reactive Systems (Scala 2 version) from École Polytechnique Fédérale de Lausanne
• Programming Reactive Systems from École Polytechnique Fédérale de Lausanne
• Parallel programming (Scala 2 version) from École Polytechnique Fédérale de Lausanne
• Programming Reactive Systems from École Polytechnique Fédérale de Lausanne

C++ Courses (7)

• Introduction à la programmation orientée objet (en C++) from École Polytechnique Fédérale de Lausanne ★★★★☆(4)
• Initiation à la programmation (en C++) from École Polytechnique Fédérale de Lausanne ★★★★★(3)
• C++程序设计 from Peking University
• Advanced Programming in C++ from New York University (NYU)
• Introduction to Programming in C++ from New York University (NYU)
• Advanced Data Structures from New York University (NYU)
• Introduction to Data Structures from New York University (NYU)

Software Development Courses (7)

• Data Science and Agile Systems for Product Management from University System of Maryland ★★★★★(41)
• Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
• Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)
• Software Development Fundamentals from University of Pennsylvania
• Software Analysis & Testing from Georgia Institute of Technology
• Introduction to Internationalization and Localization from University of Washington
• Java程序设计 from Peking University

Web Development Courses (30)

• Introduction to HTML5 from University of Michigan ★★★★☆(49) 
• Introduction to CSS3 from University of Michigan ★★★★★(14)
• CS50’s Web Programming with Python and JavaScript from Harvard University ★★★★★(12)
• Interactivity with JavaScript from University of Michigan ★★★★☆(11)
• Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
• Building Web Applications in Django from University of Michigan ★★★★★(1)
• Building Database Applications in PHP from University of Michigan ★★★★★(1)
• Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology ★★★★★(1)
• Make Your Own App from Technische Universität München (Technical University of Munich) ★★★★★(1)
• Front-End Web Development with React from The Hong Kong University of Science and Technology ★★★★★(1)
• Front-End JavaScript Frameworks: Angular from The Hong Kong University of Science and Technology ★★★★☆(1)
• Django Features and Libraries from University of Michigan
• Building Web Applications in Django from University of Michigan
• Using JavaScript, JQuery, and JSON in Django from University of Michigan
• Web Application Technologies and Django from University of Michigan
• Django Features and Libraries from University of Michigan
• Using JavaScript, JQuery, and JSON in Django from University of Michigan
• Web Application Technologies and Django from University of Michigan
• Using JavaScript, jQuery, and JSON in Django from University of Michigan
• Django Features and Libraries from University of Michigan
• Building Web Applications in Django from University of Michigan
• Web Application Technologies and Django from University of Michigan
• JavaScript, jQuery, and JSON from University of Michigan
• Front-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and Technology
• Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
• مقدمة عن لغة HTML5 from University of Michigan
• مقدمة عن CSS3 from University of Michigan
• Introducción al HTML5 from University of Michigan
• Введение в HTML5 from University of Michigan
• تنميط متقدم بتصميم سريع الاستجابة from University of Michigan

Mobile Development Courses (19)

• The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(5)
• Programming Mobile Applications for Android Handheld Systems: Part 1 from University of Maryland, College Park ★★★★☆(39)
• Programming Mobile Applications for Android Handheld Systems: Part 2 from University of Maryland, College Park ★★★★☆(15)
• Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
• iOS App Development Basics from University of Toronto ★★★★☆(2)
• CS50’s Mobile App Development with React Native from Harvard University ★★★★☆(1)
• App Design and Development for iOS from University of Toronto
• Mobile Application Experiences from Massachusetts Institute of Technology
• Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
• Mobile Application Experiences Part 4: Understanding Use from Massachusetts Institute of Technology
• Mobile Application Experiences Part 5: Reporting Research Findings from Massachusetts Institute of Technology
• Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal from University of Michigan
• Intro to AR/VR/MR/XR: Technologies, Applications & Issues from University of Michigan
• Build Your Own iOS App from University of Toronto
• Developing Android Apps with App Inventor from The Hong Kong University of Science and Technology
• 3D Graphics in Android: Sensors and VR from Imperial College London
• Advanced App Development in Android Capstone from Imperial College London
• Android Graphics with OpenGL ES from Imperial College London
• Introduction to Android graphics from Imperial College London

Game Development & VR Courses (6)

• CS50’s Introduction to Game Development from Harvard University ★★★★☆(1)
• Creating Video Games (Fall 2014) from Massachusetts Institute of Technology
• Worldbuilding for Video Games from The University of British Columbia
• Creating Virtual Reality (VR) Apps from University of California, San Diego
• Virtual Reality from University of Illinois at Urbana-Champaign
• How Virtual Reality Works from University of California, San Diego

Cybersecurity Courses (20)

• Software Security from University of Maryland, College Park ★★★★☆(24)
• Computer Systems Security (Fall 2014) from Massachusetts Institute of Technology ★★★★★(2)
• CS 253 Web Security from Stanford University
• Cybersecurity for Critical Urban Infrastructure from Massachusetts Institute of Technology
• Cyber-Physical Systems Security from Georgia Institute of Technology
• Introduction to Cybersecurity from University of Washington
• Cybersecurity: The CISO’s View from University of Washington
• Building a Cybersecurity Toolkit from University of Washington
• Finding Your Cybersecurity Career Path from University of Washington
• Cybersecurity for Everyone from University of Maryland, College Park
• Penetration Testing – Post Exploitation from New York University (NYU)
• Introduction to Cyber Attacks from New York University (NYU)
• Cyber Attack Countermeasures from New York University (NYU)
• Information Security – Authentication and Access Control from New York University (NYU)
• Information Security – Introduction to Information Security from New York University (NYU)
• Penetration Testing – Exploitation from New York University (NYU)
• Penetration Testing – Discovering Vulnerabilities from New York University (NYU)
• Enterprise and Infrastructure Security from New York University (NYU)
• Information Security – Advanced topics from New York University (NYU)
• Mobile Payment Security from New York University (NYU)

Network Security Courses (5)

• Network Security from Georgia Institute of Technology ★★★★★(1)
• Real-Time Cyber Threat Detection and Mitigation from New York University (NYU)
• Network Security – Advanced Topics from New York University (NYU)
• Network Security – Protocols from New York University (NYU)
• Network Security – Introduction to Network Security from New York University (NYU)

Cryptography Courses (5)

• Cryptography I from Stanford University ★★★★★(53) 
• Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(27) 
• Cryptography from University of Maryland, College Park ★★★★☆(8)
• Number Theory and Cryptography from University of California, San Diego
• Quantum Cryptography from California Institute of Technology

Information Technology Courses (5)

• Information Systems Auditing, Controls and Assurance from The Hong Kong University of Science and Technology ★★★★★(285)
• Information and Communication Technology (ICT) Accessibility from Georgia Institute of Technology ★★★★☆(7)
• Portfolio Management, Governance, & the PMO from University of Washington
• Leadership and Management for PM Practitioners in IT from University of Washington
• Digital Transformation in Business from University System of Maryland

Internet of Things Courses (14)

• Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego
• Internet of Things: Communication Technologies from University of California, San Diego
• Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University
• Internet of Things: How did we get here? from University of California, San Diego
• Industrial Internet of Things (IIoT) from University of Michigan
• Internet of Things: Multimedia Technologies from University of California, San Diego
• Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
• Internet of Things V2: DragonBoard™ bring up and community ecosystem from University of California, San Diego
• Internet of Things V2: Setting up and Using Cloud Services from University of California, San Diego
• IoT Devices from University of Illinois at Urbana-Champaign
• IoT Networking from University of Illinois at Urbana-Champaign
• IoT Cloud from University of Illinois at Urbana-Champaign
• IoT Communications from University of Illinois at Urbana-Champaign
• IoT Systems and Industrial Applications with Design Thinking from École Polytechnique Fédérale de Lausanne

Healthcare Informatics Courses (13)

• HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) from Columbia University ★★★★★(1)
• Health Informatics: A Current and Historical Perspective from Georgia Institute of Technology ★★★★★(1)
• Health Informatics in the Cloud from Georgia Institute of Technology ★★★★☆(1)
• Evaluations of AI Applications in Healthcare from Stanford University
• Fundamentals of Machine Learning for Healthcare from Stanford University
• AI in Healthcare Capstone from Stanford University
• Introduction to Clinical Data from Stanford University
• Global Health Informatics to Improve Quality of Care from Massachusetts Institute of Technology
• HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective) from Columbia University
• HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) from Columbia University
• Health Informatics: Data and Interoperability Standards from Georgia Institute of Technology
• Health Informatics: The Cutting Edge from Georgia Institute of Technology
• Design and Implementation of Digital Health Interventions from Imperial College London

Cloud Computing & DevOps Courses (7)

• Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(6)
• Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)
• Cloud Systems Software from Georgia Institute of Technology
• Cloud Applications from Georgia Institute of Technology
• Implementation Strategies: Cloud Computing from The University of British Columbia
• Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign
• Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign