900 Free Computer Science Courses from the World’s Top Universities

In this article, I compiled 900 online courses offered by the 60 best universities in the world for studying computer science in 2023.

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:

QS: World University Ranking 2023 — Computer Science & IT
Times Higher Education: World University Ranking 2023 — Computer Science
Shanghai Ranking: Academic Ranking of World Universities 2022 — 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-60 institutions — the cream of the crop.

top-10-universities-cs-2023 — Combined ranking: top-10 universities for studying computer science in 2023

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 150K online courses, to find all the computer science courses offered by the universities in the ranking.

The end result is a list of 900 online courses offered by the 60 best universities in the world for studying computer science in 2023.

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 ★★★★★(40023)
Computing in Python I: Fundamentals and Procedural Programming from Georgia Institute of Technology ★★★★★(234)
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 ★★★★★(528)
Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(68)
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 ★★★★★(159)
Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★★(130)
Algorithms, Part I from Princeton University ★★★★★(59)
Mining Massive Datasets from Stanford University ★★★★★(24)
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 ★★★★☆(466)
Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(32)
Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40)
Introduction to HTML5 from University of Michigan ★★★★☆(51)
Introduction to Computational Thinking and Data Science from Massachusetts Institute of Technology ★★★★☆(31)

Course Subjects

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

Artificial Intelligence (AI)
Computer Science
Data Science
Programming
- Python
- SQL
- Scala
- Java
- C++
Software Development
Information Technology (IT)

With 900 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 150K online courses.

Without further ado, here are the computer science online courses offered by the world’s best universities.

Artificial Intelligence Courses (32)

CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(31)
Introduction to Artificial Intelligence from Stanford University ★★★★☆(27)
Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)
Artificial Intelligence (AI) from Columbia University ★★★★☆(13)
CS50’s Introduction to Artificial Intelligence with Python from Harvard University ★★★★★(12)
Artificial Intelligence Planning from University of Edinburgh ★★★★☆(7)
Structuring Machine Learning Projects from DeepLearning.AI ★★★★☆(6)
Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)
Artificial Intelligence (Fall 2010) from Massachusetts Institute of Technology ★★★★★(2)
Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(2)
[New] Machine Learning: Recommender Systems & Dimensionality Reduction from University of Washington ★★★★☆(2)
Autonomous Mobile Robots from ETH Zurich ★★★★★(2)
Stanford Seminar – Rethinking the AI-UX Boundary for Designing Human-AI Experiences from Stanford University ★★★★★(1)
Artificial Intelligence for Breast Cancer Detection from Johns Hopkins University ★★★★☆(1)
Probabilistic Graphical Models 3: Learning from Stanford University
The Society of Mind (Fall 2011) from Massachusetts Institute of Technology
The Battlecode Programming Competition (January IAP 2013) from Massachusetts Institute of Technology
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
AI Applications in Marketing and Finance from University of Pennsylvania
Artificial Intelligence from Georgia Institute of Technology
Machine Learning from Georgia Institute of Technology
Designing Autonomous AI from University of Washington
Building Autonomous AI from University of Washington
Machine Teaching for Autonomous AI from University of Washington
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
[New] AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning from Delft University of Technology
AI in Practice: Preparing for AI from Delft University of Technology
AI in Practice: Applying AI from Delft University of Technology
Bias and Discrimination in AI from Université de Montréal

Machine Learning Courses (68)

Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40) ⭐
[New] CS190.1x: Scalable Machine Learning from University of California, Berkeley ★★★★★(31)
Practical Machine Learning from Johns Hopkins University
Machine Learning with Python: from Linear Models to Deep Learning from Massachusetts Institute of Technology
Learning From Data (Introductory Machine Learning) from California Institute of Technology ★★★★★(21)
Introduction to Machine Learning Course from Stanford University ★★★★☆(20)
Machine Learning: Regression from University of Washington ★★★★★(20)
Machine Learning for Data Science and Analytics from Columbia University
Machine Learning With Big Data from University of California, San Diego
Machine Learning from Columbia University ★★★★☆(12)
Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
Machine Learning: Classification from University of Washington ★★★★★(9)
Mathematics for Machine Learning: Multivariate Calculus from Imperial College London ★★★★★(9)
Machine Learning Fundamentals from University of California, San Diego ★★★★☆(8)
Reinforcement Learning from Brown University
Guided Tour of Machine Learning in Finance from New York University (NYU)
Applied Machine Learning in Python from University of Michigan ★★★★☆(6)
Machine Learning from Georgia Institute of Technology ★★★★☆(6)
[New] Distributed Machine Learning with Apache Spark from University of California, Berkeley ★★★★☆(5)
Machine Learning: Clustering & Retrieval from University of Washington ★★★★★(5)
Machine Learning from University of Washington ★★★★☆(4)
Machine Learning: Unsupervised Learning from Brown University
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)
Machine Learning for Healthcare (Spring 2019) from Massachusetts Institute of Technology
[New] Machine Learning 1—Supervised Learning from Brown University ★★★★☆(1)
Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU)
MLOps for Scaling TinyML from Harvard University
Applications of TinyML from Harvard University
Deploying TinyML from Harvard University
Fundamentals of TinyML from Harvard University
Unsupervised Learning, Recommenders, Reinforcement Learning from DeepLearning.AI
Advanced Learning Algorithms from DeepLearning.AI
Machine Learning for Healthcare from Massachusetts Institute of Technology
Information Extraction from Free Text Data in Health from University of Michigan
Introduction to Machine Learning in Sports Analytics from University of Michigan
Data Science: Machine Learning and Predictions from University of California, Berkeley
[New] CS125x: Advanced Distributed Machine Learning with Apache Spark from University of California, Berkeley
Design Thinking and Predictive Analytics for Data Products from University of California, San Diego
Deploying Machine Learning Models from University of California, San Diego
FA17: Machine Learning from Georgia Institute of Technology
머신 러닝 기초: 사례 연구 접근 방식 from University of Washington
Machine Learning Algorithms with R in Business Analytics from University of Illinois at Urbana-Champaign
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 from The University of Texas at Austin
Big Data Machine Learning | 大数据机器学习 from Tsinghua University
Machine Learning: Concepts and Applications from The University of Chicago
Statistical Machine Learning from Carnegie Mellon University
Machine Learning Use Cases in Finance from Université de Montréal
Introduction to Natural Language Processing from University of Michigan
[New] Natural Language Processing from Stanford University ★★★★★(7)
[New] Natural Language Processing from Columbia University ★★★★★(7)
Sequence Models from DeepLearning.AI ★★★★★(4)
Applied Text Mining in Python from University of Michigan
Natural Language Processing: Foundations from National University of Singapore ★★★★★(1)
Deep Learning for Natural Language Processing from University of Oxford ★★★★★(1)
Getting started with TensorFlow 2 from Imperial College London
Customising your models with TensorFlow 2 from Imperial College London
TensorFlow 2 시작하기 from Imperial College London
Probabilistic Deep Learning with TensorFlow 2 from Imperial College London
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization from DeepLearning.AI ★★★★★(3)
Supervised Machine Learning: Regression and Classification from DeepLearning.AI
[New] AI skills for Engineers: Supervised Machine Learning from Delft University of Technology
Stanford Seminar – Building the Smartest and Open Virtual Assistant to Protect Privacy – Monica Lam from Stanford University ★★★★★(1)
Decision Making and Reinforcement Learning from Columbia University

Deep Learning Courses (8)

Neural Networks for Machine Learning from University of Toronto ★★★★☆(26)
Neural Networks and Deep Learning from DeepLearning.AI ★★★★★(15)
6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology ★★★★☆(3)
MIT 6.S191: Introduction to Deep Learning 2021 from Massachusetts Institute of Technology ★★★★★(2)
Deep Learning Lecture Series from University College London ★★★★☆(1)
Deep Learning Methods for Healthcare from University of Illinois at Urbana-Champaign
Advanced Deep Learning Methods for Healthcare from University of Illinois at Urbana-Champaign
Deep Learning Essentials from Université de Montréal

Computer Vision Courses (18)

Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★★(37)
Introduction to Computer Vision from Georgia Institute of Technology ★★★★★(7)
Convolutional Neural Networks for Visual Recognition (Spring 2017) from Stanford University ★★★★☆(5)
Robotics: Perception from University of Pennsylvania
[New] Computer Vision: The Fundamentals from University of California, Berkeley ★★★★☆(3)
Einführung in Computer Vision from Technische Universität München (Technical University of Munich) ★★★★☆(2)
Deep Learning for Computer Vision from University of Michigan ★★★★★(1)
Robotics: Vision Intelligence and Machine Learning from University of Pennsylvania
Visual Perception from Columbia University
3D Reconstruction – Multiple Viewpoints from Columbia University
Features and Boundaries from Columbia University
3D Reconstruction – Single Viewpoint from Columbia University
Camera and Imaging from Columbia University
Convolutional Neural Networks from DeepLearning.AI ★★★★★(8)
Python Project: pillow, tesseract, and opencv from University of Michigan ★★★☆☆(1)
Introduction to Parallel Programming with CUDA from Johns Hopkins University
CUDA at Scale for the Enterprise from Johns Hopkins University
CUDA Advanced Libraries from Johns Hopkins University

Self-Driving Cars Courses (7)

6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology ★★★★☆(2)
Stanford Seminar – Toward Scalable Autonomy – Aleksandra Faust from Stanford University ★★★★☆(1)
Introduction to Self-Driving Cars from University of Toronto ★★★★★(1)
Visual Perception for Self-Driving Cars from University of Toronto
State Estimation and Localization 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 (86)

CS50’s Introduction to Computer Science from Harvard University ★★★★★(155) ⭐
Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★★(130) ⭐
Harvard CS50 – Full Computer Science University Course from Harvard University ★★★★★(90)
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 ★★★★☆(23)
Introduction to Electrical Engineering and Computer Science I (Spring 2011) from Massachusetts Institute of Technology ★★★★★(22)
Introduction to Logic from Stanford University
Computer Science 101 from Stanford University ★★★★☆(19)
CS50’s Computer Science for Business Professionals from Harvard University ★★★★★(13)
6.00x: Introduction to Computer Science and Programming from Massachusetts Institute of Technology ★★★★★(11)
CS50’s Understanding Technology from Harvard University ★★★★★(10)
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign
Hardware Security from University of Maryland, College Park
Compilers from Stanford University ★★★★★(8)
Usable Security from University of Maryland, College Park
Quantitative Methods from University of Amsterdam ★★★★★(7)
Computer Architecture from Princeton University ★★★★☆(6)
CS50’s Computer Science for Lawyers from Harvard University ★★★★★(5)
Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
Performance Engineering of Software Systems (Fall 2018) from Massachusetts Institute of Technology ★★★★★(5)
Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(5)
Basics of Computing and Programming from New York University (NYU) ★★★★☆(5)
Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(5)
Software Development Capstone Project from The University of British Columbia
Language, Proof and Logic from Stanford University ★★★★☆(3)
Introduction to Computer Science and Programming in Python (Fall 2016) from Massachusetts Institute of Technology ★★★★☆(3)
Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)
Networks: Friends, Money, and Bytes from Princeton University ★★★★☆(3)
Software Architecture & Design from Georgia Institute of Technology ★★★★★(3)
Stanford CS547 – Human-Computer Interaction Seminar Series from Stanford University ★★★★★(2)
Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
Software Engineering: Introduction from The University of British Columbia
[New] Introduction to Grid Computing from University of Amsterdam ★★★★☆(2)
Electrical and Computer Engineering – ECE 252 from University of Waterloo ★★★★★(2)
Compilers from Stanford University ★★★★★(1)
Introduction to Logic from Stanford University ★★★★★(1)
Stanford Seminar – How Not to Generate Random Numbers from Stanford University ★★★★★(1)
Introduction to Computer Science and Programming (Fall 2008) from Massachusetts Institute of Technology ★★★★★(1)
Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology
Computer Science: Programming with a Purpose from Princeton University ★★★★★(1)
High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)
Computational Photography from Georgia Institute of Technology ★★★★☆(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
Multicore Programming Primer (January IAP 2007) 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
Advanced Software Construction in Java from Massachusetts Institute of Technology
Introduction to Computational Thinking and Data Science (Fall 2016) from Massachusetts Institute of Technology
Hacker Tools from Massachusetts Institute of Technology
Introduction to Computational Thinking from Massachusetts Institute of Technology
Understanding the World Through Data from Massachusetts Institute of Technology
[New] مقدمة في علم الحاسوب والبرمجة from Massachusetts Institute of Technology
Computational Thinking for Problem Solving from University of Pennsylvania
Introduction to Concurrent Programming with GPUs from Johns Hopkins University
GT – Refresher – Advanced OS from Georgia Institute of Technology
Compilers: Theory and Practice from Georgia Institute of Technology
Accessible Gamification from Georgia Institute of Technology
Supercomputing from Partnership for Advanced Computing in Europe
离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong
离散优化建模高阶篇 Advanced Modeling for Discrete Optimization from The Chinese University of Hong Kong
程序开发项目实践 from Peking University
计算机组成 Computer Organization from Peking University
操作系统与虚拟化安全 from Peking University
数据结构基础 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
Search Engines for Web and Enterprise Data from The Hong Kong University of Science and Technology
Procedural Modelling from National University of Singapore
Generative Modelling from National University of Singapore
Performative Modelling from National University of Singapore
Computer Hardware and Operating Systems from New York University (NYU) ★★★★★(9)
Advanced Operating Systems from Georgia Institute of Technology ★★★★★(6)
Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(2)
操作系统原理（Operating Systems） from Peking University
Fundamentals of Qualitative Research Methods from Yale University ★★★★★(78)
Qualitative Research Methods from University of Amsterdam ★★★★☆(5)
Qualitative Research Methods: Conversational Interviewing from Massachusetts Institute of Technology ★★★★★(1)
[New] Qualitative Research Methods from University of Amsterdam ★★★★★(1)
Qualitative Research Methods: Data Coding and Analysis from Massachusetts Institute of Technology
MIT 6.824 Distributed Systems (Spring 2020) from Massachusetts Institute of Technology ★★★★★(3)
Distributed Systems from University of Cambridge ★★★★★(2)
Modern Distributed Systems from Delft University of Technology

Algorithms and Data Structure Courses (88)

Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(68) ⭐
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)
Algorithms: Design and Analysis, Part 2 from Stanford University ★★★★★(19)
Data Structures from University of California, San Diego ★★★★☆(16)
How to Code: Simple Data from The University of British Columbia ★★★★☆(15)
Design of Computer Programs from Stanford University ★★★★☆(14)
Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology ★★★★★(13)
Discrete Optimization from University of Melbourne ★★★★☆(12)
Heterogeneous Parallel Programming from University of Illinois at Urbana-Champaign ★★★★☆(9)
Data Structures and Performance from University of California, San Diego ★★★★☆(6)
Analysis of Algorithms from Princeton University ★★★★☆(6)
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps from Georgia Institute of Technology ★★★★★(6)
Modeling Discrete Optimization from University of Melbourne ★★★★☆(6)
Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)
How to Code: Complex Data from The University of British Columbia ★★★★★(5)
Algorithms on Strings from University of California, San Diego
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)
Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms from Georgia Institute of Technology ★★★★★(3)
Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms from Georgia Institute of Technology ★★★★★(3)
Advanced Algorithms (COMPSCI 224) from Harvard University ★★★★★(2)
General Game Playing from Stanford University ★★★★★(2)
The Beauty and Joy of Computing – AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
Programming Languages, Part C from University of Washington ★★★★☆(2)
Object-Oriented Data Structures in C++ from University of Illinois at Urbana-Champaign ★★★★☆(2)
Graph Search, Shortest Paths, and Data Structures from Stanford University
Introduction to Algorithms from Massachusetts Institute of Technology ★★★★★(1)
Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)
Advanced Algorithms and Complexity from University of California, San Diego
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)
[New] Introduction à la logique informatique – Partie 1 : calcul propositionnel from Université Paris-Saclay ★★★★★(1)
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford 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
[New] Graph Partitioning and Expanders from Stanford University
Principles of Computing from Stanford University
[New] Algorithms: Design and Analysis, Part 2 from Stanford University
Introduction to Algorithms (Fall 2011) 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
Algorithmic Lower Bounds: Fun with Hardness Proofs (Fall 2014) from Massachusetts Institute of Technology
Design and Analysis of Algorithms from Massachusetts Institute of Technology
Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
Programming for the Puzzled (January IAP 2018) from Massachusetts Institute of Technology
MIT 6.006 Introduction to Algorithms, Spring 2020 from Massachusetts Institute of Technology
Data Structures and Software Design from University of Pennsylvania
Algorithm Design and Analysis from University of Pennsylvania
The Beauty and Joy of Computing (CS Principles), Part 1 from University of California, Berkeley
The Beauty and Joy of Computing (CS Principles), Part 3 from University of California, Berkeley
The Beauty and Joy of Computing (CS Principles), Part 4 from University of California, Berkeley
The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
Graph Algorithms from University of California, San Diego
NP-Complete Problems from University of California, San Diego
String Processing and Pattern Matching Algorithms from University of California, San Diego
Data Structures Fundamentals from University of California, San Diego
Алгоритмы, часть I from Princeton University
Computer Science: Algorithms, Theory, and Machines from Princeton University
High Performance Computing 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
Advanced Modeling for Discrete Optimization from University of Melbourne
Basic Modeling for Discrete Optimization from University of Melbourne
Solving Algorithms for Discrete Optimization from University of Melbourne
离散优化算法篇 Solving Algorithms for Discrete Optimization from The Chinese University of Hong Kong
[New] Basic Modeling for Discrete Optimization 离散优化建模基础篇 from The Chinese University of Hong Kong
[New] Advanced Modeling for Discrete Optimization 离散优化建模高阶篇 from The Chinese University of Hong Kong
算法设计与分析 Design and Analysis of Algorithms from Peking University
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
[New] 数据结构与算法 Data Structures and Algorithms from Peking University
[New] 算法基础 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
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
Data Structures and Algorithms (I) from Tsinghua University
Data Structures and Algorithms (II) from Tsinghua University
Data Structures and Algorithms (III) from Tsinghua University
Data Structures and Algorithms (IV) from Tsinghua University

Databases Courses (24)

Using Databases with Python from University of Michigan ★★★★★(4218)
Introduction to Databases from Stanford University ★★★★★(30)
Databases: Introduction to Relational Databases from Stanford University ★★★★★(15)
Database Systems – Cornell University Course (SQL, NoSQL, Large-Scale Data Analysis) from Cornell University ★★★★★(11)
Ruby on Rails Web Services and Integration with MongoDB from Johns Hopkins University ★★★★★(6)
Rails with Active Record and Action Pack from Johns Hopkins University ★★★★☆(4)
Introduction to Structured Query Language (SQL) from University of Michigan ★★★★☆(2)
Introduction to Database Queries from New York University (NYU) ★★★★★(2)
Databases: JSON Data from Stanford University
Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)
Advanced Database Queries from New York University (NYU) ★★★★★(1)
Advanced Database Administration from New York University (NYU) ★★★★★(1)
15-721 Advanced Database Systems (Spring 2017) from Carnegie Mellon University ★★★★☆(1)
[New] CS50’s Introduction to Databases with SQL from Harvard University
Databases: Unified Modeling Language from Stanford University
Databases: Indexes and Transactions from Stanford University
Databases: On-Line Analytical Processing from Stanford University
Databases: OLAP and Recursion from Stanford University
Databases: Semistructured Data from Stanford University
Databases: Modeling and Theory 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
Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
Database Systems Concepts and Design from Georgia Institute of Technology

Bioinformatics Courses (25)

Finding Hidden Messages in DNA (Bioinformatics I) from University of California, San Diego ★★★★★(17)
DCO042 – Python For Informatics from University of Michigan ★★★★★(14)
Python for Genomic Data Science from Johns Hopkins University
Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego
Quantitative Biology Workshop from Massachusetts Institute of Technology ★★★★★(5)
Genome Sequencing (Bioinformatics II) from University of California, San Diego ★★★★★(5)
[New] Bioinformatics: Life Sciences on Your Computer from Johns Hopkins University ★★★★★(4)
[New] Bioinformatics Algorithms (Part 2) from University of California, San Diego ★★★★☆(4)
Comparing Genes, Proteins, and Genomes (Bioinformatics III) from University of California, San Diego ★★★★★(3)
[New] Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego
Stanford Seminar – When DNA Meets AI from Stanford University ★★★★★(2)
Genomic Data Science and Clustering (Bioinformatics V) from University of California, San Diego ★★★★☆(2)
STAT115 2020 from Harvard University ★★★★★(1)
Bioinformatics Capstone: Big Data in Biology from University of California, San Diego
Molecular Evolution (Bioinformatics IV) from University of California, San Diego
Finding Mutations in DNA and Proteins (Bioinformatics VI) from University of California, San Diego
Hacking COVID-19 — Course 2: Decoding SARS-CoV-2’s Secrets from University of California, San Diego
Introduction to Genomic Data Science from University of California, San Diego
Dynamic Programming: Applications In Machine Learning and Genomics from University of California, San Diego
Graph Algorithms in Genome Sequencing from University of California, San Diego
Algorithms and Data Structures Capstone from University of California, San Diego
Plant Bioinformatics Capstone from University of Toronto
Plant Bioinformatics from University of Toronto
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 from Peking University
生物信息学: 导论与方法 from Peking University

Blockchain and Cryptocurrency Courses (6)

Cryptocurrency Engineering and Design (Spring 2018) from Massachusetts Institute of Technology ★★★★★(7)
Stanford Seminar – Practical Blockchain Applications – Steven Pu from Stanford University ★★★★★(2)
Beyond Cryptocurrency: Blockchain for the Real World from Stanford University ★★★★☆(1)
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 (9)

Human-Computer Interaction from University of California, San Diego ★★★★☆(12)
Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology ★★★★★(12)
Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology ★★★★★(3)
[New] Human-Computer Interaction Design from University of California, San Diego ★★★★★(2)
Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology ★★★★★(2)
[New] Interaction Techniques from University of California, San Diego ★★★★★(1)
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

Computer Networking Courses (7)

Introduction to Networking from New York University (NYU) ★★★★☆(16)
Computer Networks from University of Washington ★★★★★(15)
Introduction to Computer Networking from Stanford University ★★★★★(13)
Computer Networking from Georgia Institute of Technology ★★★★☆(6)
An Introduction to Computer Networks from Stanford University ★★★★☆(3)
Network Function Virtualization from Georgia Institute of Technology
iLabX – The Internet Masterclass from Technische Universität München (Technical University of Munich)

Data Science Courses (74)

R Programming from Johns Hopkins University
The Data Scientist’s Toolbox from Johns Hopkins University
Python for Data Science from University of California, San Diego ★★★★☆(47) ⭐
Introduction to Data Science in Python from University of Michigan
Statistical Inference from Johns Hopkins University
Regression Models from Johns Hopkins University
Probability and Statistics in Data Science using Python from University of California, San Diego
Introduction to Computational Thinking and Data Science from Massachusetts Institute of Technology ★★★★☆(31) ⭐
Introduction to Data Science from University of Washington ★★★★☆(31)
A Crash Course in Data Science from Johns Hopkins University ★★★★☆(25)
Statistics and R from Harvard University ★★★★☆(20)
Statistical Thinking for Data Science and Analytics from Columbia University
Developing Data Products from Johns Hopkins University ★★★★☆(18)
Building a Data Science Team from Johns Hopkins University ★★★★☆(14)
Data Science in Real Life from Johns Hopkins University
Data Science: R Basics from Harvard University ★★★★★(11)
Data Science: Visualization from Harvard University ★★★★★(5)
Stanford Seminar – Secure Data Science on the Internet of Things from Stanford University ★★★★☆(4)
Data Science Capstone from Johns Hopkins University
The R Programming Environment from Johns Hopkins University
FA19: Deterministic Optimization from Georgia Institute of Technology ★★★★☆(4)
Data Manipulation at Scale: Systems and Algorithms from University of Washington
Data Science: Machine Learning from Harvard University ★★★★☆(3)
Applied Social Network Analysis in Python from University of Michigan ★★★★☆(3)
Scientific Computing from University of Washington ★★★★☆(3)
Data Science: Wrangling from Harvard University ★★★★★(2)
Data Science: Probability from Harvard University ★★★★☆(2)
Data Analysis: Statistical Modeling and Computation in Applications from Massachusetts Institute of Technology ★★★★★(2)
Executive Data Science Capstone from Johns Hopkins University ★★★★★(2)
Building R Packages from Johns Hopkins University
Data Science: Computational Thinking with Python from University of California, Berkeley ★★★★★(2)
Communicating Data Science Results from University of Washington
Research Data Management and Sharing from The University of North Carolina at Chapel Hill ★★★★☆(2)
[New] The Caltech-JPL Summer School on Big Data Analytics from California Institute of Technology ★★★★★(2)
統計学Ⅰ：データ分析の基礎 (ga014) from University of Tokyo ★★★★★(2)
Policy Analysis Using Interrupted Time Series from The University of British Columbia ★★★★★(1)
Data Science: Productivity Tools from Harvard University ★★★★★(1)
Information Visualization: Programming with D3.js from New York University (NYU) ★★★★★(1)
Data Science: Inference and Modeling from Harvard University ★★★★☆(1)
Advanced Linear Models for Data Science 1: Least Squares from Johns Hopkins University ★★★★★(1)
Advanced Linear Models for Data Science 2: Statistical Linear Models from Johns Hopkins University ★★★★★(1)
Advanced R Programming from Johns Hopkins University ★★★★☆(1)
[New] CS115x: Advanced Apache Spark for Data Science and Data Engineering from University of California, Berkeley ★★★★★(1)
High Performance Scientific Computing from University of Washington ★★★★★(1)
社会人のためのデータサイエンス入門 (ga031) from University of Tokyo ★★★★★(1)
Introduction to Data Science with Python from Harvard University
Data Science: Capstone from Harvard University
Capstone Exam in Statistics and Data Science from Massachusetts Institute of Technology
Collaborative Data Science for Healthcare from Massachusetts Institute of Technology
Data Science Ethics from University of Michigan
데이터 과학자의 도구 상자 from Johns Hopkins University
Cours intensif sur la science des données from Johns Hopkins University
Ein Crashkurs in Datenwissenschaft from Johns Hopkins University
Der Werkzeugkasten des Data Scientist from Johns Hopkins University
Introduction to the Tidyverse from Johns Hopkins University
Importing Data in the Tidyverse from Johns Hopkins University
Modeling Data in the Tidyverse from Johns Hopkins University
Wrangling Data in the Tidyverse from Johns Hopkins University
Data Science: Inferential Thinking through Simulations from University of California, Berkeley
Data, Models and Decisions in Business Analytics from Columbia University
Code Free Data Science from University of California, San Diego
Data Analytics for Business from Georgia Institute of Technology
FA19: Statistical Modeling and Regression Analysis from Georgia Institute of Technology
Health Data Science Foundation from University of Illinois at Urbana-Champaign
Predictive Analytics using Machine Learning from University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine from University of Edinburgh
人群与网络 from Peking University
Combining and Analyzing Complex Data from University of Maryland, College Park
Dealing With Missing 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
Wearable Technologies and Sports Analytics from University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports from University of Michigan

Data Analysis Courses (74)

The Analytics Edge from Massachusetts Institute of Technology ★★★★★(80)
Getting and Cleaning Data from Johns Hopkins University
Reproducible Research from Johns Hopkins University ★★★★☆(27)
Computing for Data Analysis from Johns Hopkins University
Data Analysis from Johns Hopkins University ★★★★☆(20)
Data Analysis for Social Scientists from Massachusetts Institute of Technology
Data Analysis: Take It to the MAX() from Delft University of Technology
Social Network Analysis from University of Michigan ★★★★☆(12)
Managing Data Analysis from Johns Hopkins University
[New] UT.7.01x: Foundations of Data Analysis from The University of Texas at Austin ★★★★★(8)
Foundations of Data Analysis – Part 1: Statistics Using R from The University of Texas at Austin ★★★★☆(8)
Data Analysis Essentials from Imperial College London
Introduction to Systematic Review and Meta-Analysis from Johns Hopkins University ★★★★★(6)
Computing for Data Analysis from Georgia Institute of Technology
People Analytics from University of Pennsylvania ★★★★☆(5)
Introduction to Analytics Modeling from Georgia Institute of Technology ★★★★☆(5)
Computational Methods for Data Analysis from University of Washington ★★★★★(4)
Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University ★★★★★(3)
High-Dimensional Data Analysis from Harvard University ★★★★☆(3)
Framework for Data Collection and Analysis from University of Maryland, College Park ★★★★☆(3)
Case study: DNA methylation data analysis from Harvard University ★★★★★(2)
The Analytics Edge (Spring 2017) from Massachusetts Institute of Technology ★★★★★(2)
Introduction to Accounting Data Analytics and Visualization from University of Illinois at Urbana-Champaign ★★★★★(2)
Data Analytics Foundations for Accountancy I from University of Illinois at Urbana-Champaign
Foundations of Data Analysis – Part 2: Inferential Statistics from The University of Texas at Austin ★★★★☆(2)
Statistical Analysis of fMRI Data from Johns Hopkins University ★★★★☆(1)
Successfully Evaluating Predictive Modelling from University of Edinburgh
Data Analysis: Visualization and Dashboard Design from Delft University of Technology
Data Analytics in Health – From Basics to Business from KU Leuven University ★★★★★(1)
Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
Data Analysis in Social Science—Assessing Your Knowledge from Massachusetts Institute of Technology
Survey Data Collection and Analytics Project (Capstone) from University of Michigan
Data Analysis Using Python from University of Pennsylvania
Muestreo de personas, redes y registros from University of Michigan
Moneyball and Beyond from University of Michigan
Prediction Models with Sports Data from University of Michigan
Fundamentals of Data Analytics in the Public Sector with R from University of Michigan
Measuring Total Data Quality from University of Michigan
The Total Data Quality Framework from University of Michigan
Design Strategies for Maximizing Total Data Quality from University of Michigan
Politics and Ethics of Data Analytics in the Public Sector from University of Michigan
Sampling People, Networks and Records from University of Michigan
مجموعة أدوات عالم البيانات from Johns Hopkins University
تحليل البيانات الاستكشافية from Johns Hopkins University
Datenanalyse verwalten from Johns Hopkins University
Управление анализом данных from Johns Hopkins University
Gestion de l’analyse des données from Johns Hopkins University
Gestión del análisis de datos from Johns Hopkins University
الحصول على البيانات وتنظيفها from Johns Hopkins University
Measurement – Turning Concepts into Data from Johns Hopkins University
Data Literacy Capstone – Evaluating Research from Johns Hopkins University
Quantifying Relationships with Regression Models from Johns Hopkins University
Data – What It Is, What We Can Do With It from Johns Hopkins University
Exploratory Data Analysis from Johns Hopkins University
Meaningful Predictive Modeling from University of California, San Diego
Exploration et production de données pour les entreprises 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
Data Modeling and Regression Analysis in Business from University of Illinois at Urbana-Champaign
Data Analytics in Accounting Capstone from University of Illinois at Urbana-Champaign
[New] Business Statistics, Data Analysis, and Decision Making: Part 2 from University of Illinois at Urbana-Champaign
Introduction to Predictive Analytics using Python from University of Edinburgh
Doing Economics: Measuring Climate Change from University of London International Programmes
Foundations of Data Analytics from The Hong Kong University of Science and Technology
Mathematical Methods for Data Analysis from The Hong Kong University of Science and Technology
Cómo manejar datos faltantes from University of Maryland, College Park
Cómo combinar y analizar datos complejos from University of Maryland, College Park
Data Analysis: Building Your Own Business Dashboard from Delft University of Technology
Análisis de datos: Llévalo al MAX() from Delft University of Technology
Análisis de datos: Diseño y Visualización de Tableros from Delft University of Technology
Big Data Analysis with Scala and Spark (Scala 2 version) from École Polytechnique Fédérale de Lausanne
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 (21)

Big Data Analysis with Apache Spark from University of California, Berkeley ★★★★☆(43)
Introduction to Big Data from University of California, San Diego
Introduction to Big Data Analytics from University of California, San Diego
[New] Introduction to Apache Spark from University of California, Berkeley ★★★★☆(9)
Graph Analytics for Big Data from University of California, San Diego
Big data and Language 1 from Korea Advanced Institute of Science and Technology ★★★★☆(5)
Algorithms for Big Data (COMPSCI 229r) from Harvard University ★★★★★(4)
Big Data Integration and Processing from University of California, San Diego ★★★★☆(3)
Big Data Modeling and Management Systems from University of California, San Diego
Big data and Language 2 from Korea Advanced Institute of Science and Technology ★★★★★(3)
Big Data and Education from Columbia University
AI Skills for Engineers: Data Engineering and Data Pipelines from Delft University of Technology ★★★★☆(1)
Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne
Big Data Solutions for Social and Economic Disparities from Harvard University
Big Data Analytics Using Spark from University of California, San Diego
Big Data – Capstone Project 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
Big Data Technology Capstone Project from The Hong Kong University of Science and Technology
Data Creation and Collection for Artificial Intelligence via Crowdsourcing from Delft University of Technology
Advanced Big Data Systems | 高级大数据系统 from Tsinghua University

Data Visualization Courses (13)

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
3D Data Visualization for Science Communication from University of Illinois at Urbana-Champaign ★★★★★(1)
Information Visualization: Foundations from New York University (NYU) ★★★★★(1)
Information Visualization: Applied Perception from New York University (NYU) ★★★★★(1)
Information Visualization: Advanced Techniques from New York University (NYU) ★★★★★(1)
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript from University of Michigan
Visualizing Data in the Tidyverse from Johns Hopkins University
Data Visualization Capstone from Johns Hopkins University
Data Analysis and Visualization from Georgia Institute of Technology
[New] Communicating Results: Visualization, Ethics, Reproducibility from University of Washington
数据可视化|Data Visualization from Tsinghua University

Data Mining Courses (8)

Mining Massive Datasets from Stanford University ★★★★★(24) ⭐
Pattern Discovery in Data Mining from University of Illinois at Urbana-Champaign
Text Mining and Analytics from University of Illinois at Urbana-Champaign ★★★★☆(10)
Cluster Analysis in Data Mining from University of Illinois at Urbana-Champaign
Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘：理论与算法 from Tsinghua University
[New] Data Mining Capstone from University of Illinois at Urbana-Champaign
Data Mining and Knowledge Discovery from The Hong Kong University of Science and Technology
[New] Text Mining & Analytics from Delft University of Technology

Programming Courses (56)

Programming Languages, Part A from University of Washington ★★★★★(27)
Programming with Scratch from The Hong Kong University of Science and Technology
Real-Time Audio Signal Processing in Faust from Stanford University
Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
Programming Languages Ⅱ from Korea Advanced Institute of Science and Technology
Programming Languages Ⅰ from Korea Advanced Institute of Science and Technology
Using Python for Research from Harvard University ★★★★☆(12)
Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(10)
MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(8)
Capstone: Retrieving, Processing, and Visualizing Data with Python from University of Michigan
Creative Coding from Monash University ★★★★☆(6)
Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(5)
Building Web Applications in PHP from University of Michigan ★★★★★(2)
[New] Computational Photography from Georgia Institute of Technology
¡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)
LaTeX course from University of Amsterdam ★★★★★(1)
Haskell: Lecture notes and assignments from University of Pennsylvania
Quantitative Methods for Biology from Harvard University
The Power of Object-Oriented Programming from University of Michigan
Introduction to Neurohacking In R from Johns Hopkins 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
[New] 程序设计实习 / Practice on Programming from Peking University
Introduction to Computing 计算概论A from Peking University
[New] 计算导论 from Peking University
[New] 程序设计与算法（大学先修课） from Peking University
[New] Introdução à Programação: Python para Jornalistas from Knight Center for Journalism in the Americas
MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
Functional Programming in Scala Capstone from École Polytechnique Fédérale de Lausanne
Code Yourself! An Introduction to Programming from University of Edinburgh ★★★★☆(12)
CS50’s Introduction to Programming with Scratch from Harvard University ★★★★★(3)
CS 241: System Programming from University of Illinois at Urbana-Champaign
C程序设计进阶 from Peking University
[New] C程序设计 from Peking University
Introduction To Swift Programming from University of Toronto
CS193p – Developing Apps for iOS from Stanford University
Programming for the Web with JavaScript from University of Pennsylvania ★★★★★(5)
التفاعل مع لغة البرمجة جافا سكريبت from University of Michigan ★★★★☆(1)
JavaScript, jQuery, and JSON from University of Michigan
Introduction To MATLAB Programming (Fall 2011) from Massachusetts Institute of Technology ★★★★☆(3)
Advanced MATLAB for Scientific Computing from Stanford University ★★★★★(2)
Einführung in MATLAB from Technische Universität München (Technical University of Munich)
R البرمجة باستخدام لغة from Johns Hopkins University ★★★★☆(3)
R Programming Fundamentals from Stanford University
R 프로그래밍 from Johns Hopkins University
Advanced Data Visualization with R from Johns Hopkins University
Data Visualization in R with ggplot2 from Johns Hopkins University
Getting Started with Data Visualization in R from Johns Hopkins University
Publishing Visualizations in R with Shiny and flexdashboard from Johns Hopkins University
Learn Computer Science Online from University of Illinois at Urbana-Champaign

Python Courses (38)

Programming for Everybody (Getting Started with Python) from University of Michigan ★★★★★(40023) ⭐
Python Data Structures from University of Michigan ★★★★★(15154)
Using Python to Access Web Data from University of Michigan ★★★★★(5211)
Python and Statistics for Financial Analysis from The Hong Kong University of Science and Technology ★★★★☆(461) ⭐
Computing in Python I: Fundamentals and Procedural Programming from Georgia Institute of Technology ★★★★★(232) ⭐
Learn to Program: The Fundamentals from University of Toronto ★★★★★(109) ⭐
Computing in Python IV: Objects & Algorithms from Georgia Institute of Technology ★★★★★(96)
Computing in Python II: Control Structures from Georgia Institute of Technology ★★★★★(54)
Computing in Python III: Data Structures from Georgia Institute of Technology ★★★★★(44)
Programming for Everybody (Getting Started with Python) from University of Michigan ★★★★★(10)
Python Data Structures from University of Michigan ★★★★★(7)
CS50’s Introduction to Programming with Python from Harvard University ★★★★★(6)
Programming for Everybody: Python Data Structures from University of Michigan ★★★★★(5)
Understanding and Visualizing Data with Python from University of Michigan ★★★★★(3)
Programming for Everybody (Getting Started with Python) from University of Michigan ★★★★★(2)
Python Basics from University of Michigan ★★★★★(2)
البرمجة للجميع – بدء استخدام بايثون from University of Michigan ★★★★★(1)
Fitting Statistical Models to Data with Python from University of Michigan ★★★★★(1)
Programmation pour tous (mise en route de Python) from University of Michigan ★★★★★(1)
Inferential Statistical Analysis with Python from University of Michigan ★★★★★(1)
Programación para todos (empezando con Python) from University of Michigan ★★★★☆(1)
Introduction to Python Programming from University of Pennsylvania
Python Classes and Inheritance from University of Michigan
Программирование для всех (начало работы с Python) from University of Michigan
Структуры данных Python 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
Big Ideas in Programming: Expressing Yourself with Python from University of Michigan
Debugging: Hunting and Squashing Bugs from University of Michigan
Estructuras de Datos con Python from University of Michigan
Python Functions, Files, and Dictionaries from University of Michigan
Data Collection and Processing with Python from University of Michigan
Estruturas de dados Python from University of Michigan
Использование языка Python для доступа к веб-данным from University of Michigan
Estructuras de datos de Python from University of Michigan
Python에서 데이터베이스 사용하기 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: Recursion in SQL from Stanford University
Databases: Advanced Topics in SQL from Stanford University
JSON and Natural Language Processing in PostgreSQL from University of Michigan ★★★★★(1)
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
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 (11)

Object Oriented Programming in Java from University of California, San Diego ★★★★★(17)
Introduction to Java Programming – Part 1 from The Hong Kong University of Science and Technology
Initiation à la programmation (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
Introduction to Java and Object-Oriented Programming from University of Pennsylvania
Inheritance and Data Structures in Java from University of Pennsylvania
Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics 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 III: Exceptions, Data Structures, Recursion, and GUIs from Georgia Institute of Technology
Java程序设计 from Peking University
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 (8)

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

C++ Courses (8)

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)
CS106B, Programming Abstraction in C++ from Stanford University ★★★★★(1)
C++程序设计 from Peking University
Introduction to Programming in C++ from New York University (NYU)
Advanced Programming in C++ from New York University (NYU)
Introduction to Data Structures from New York University (NYU)
Advanced Data Structures from New York University (NYU)

Software Development Courses (19)

Data Science and Agile Systems for Product Management from University System of Maryland ★★★★★(69)
The Hardware/Software Interface from University of Washington ★★★★★(12)
Introduction to Systematic Program Design – Part 1 from The University of British Columbia ★★★★★(6)
Software Development Process from Georgia Institute of Technology ★★★★☆(5)
Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
Software Development Fundamentals from University of Pennsylvania
Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)
Automated Software Testing: Model and State-based Testing from Delft University of Technology ★★★★★(1)
Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of Technology ★★★★☆(1)
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
软件工程 from Peking University
软件工程 from Peking University
Software Engineering: Modeling Software Systems using UML from The Hong Kong University of Science and Technology
Software Engineering: Implementation and Testing from The Hong Kong University of Science and Technology
Software Engineering: Software Design and Project Management from The Hong Kong University of Science and Technology
Global Software Development from Delft University of Technology
UML Class Diagrams for Software Engineering from KU Leuven University

Web Development Courses (38)

Ruby on Rails: An Introduction from Johns Hopkins University
Introduction to HTML5 from University of Michigan ★★★★☆(51) ⭐
CS50’s Web Programming with Python and JavaScript from Harvard University ★★★★★(24)
HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(22)
HTML, CSS and JavaScript from The Hong Kong University of Science and Technology ★★★★☆(19)
Introduction to CSS3 from University of Michigan ★★★★★(14)
Interactivity with JavaScript from University of Michigan ★★★★☆(11)
Front-End Web UI Frameworks and Tools from The Hong Kong University of Science and Technology ★★★★☆(9)
Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
Front-End Web Development with React from The Hong Kong University of Science and Technology ★★★★★(3)
[New] Software as a Service from University of California, Berkeley
Server-side Development with NodeJS from The Hong Kong University of Science and Technology ★★★★★(2)
Building Database Applications in PHP from University of Michigan ★★★★★(1)
Building Web Applications in Django from University of Michigan ★★★★★(1)
Web Design for Everybody Capstone from University of Michigan ★★★★☆(1)
Software Engineering for SaaS from University of California, Berkeley ★★★★☆(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)
Web Application Technologies and Django from University of Michigan
Building Web Applications in Django from University of Michigan
Django Features and Libraries from University of Michigan
Django Features and Libraries from University of Michigan
Web Application Technologies and Django from University of Michigan
Building Web Applications in Django from University of Michigan
Django Features and Libraries from University of Michigan
Web Application Technologies and Django from University of Michigan
Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
Front-End JavaScript Frameworks: AngularJS from The Hong Kong University of Science and Technology ★★★★☆(9)
Single Page Web Applications with AngularJS from Johns Hopkins University ★★★★★(5)
مقدمة عن CSS3 from University of Michigan
مقدمة عن لغة HTML5 from University of Michigan
Introducción al HTML5 from University of Michigan
Введение в HTML5 from University of Michigan
Using JavaScript, jQuery, and JSON in Django from University of Michigan
Using JavaScript, JQuery, and JSON in Django from University of Michigan
Using JavaScript, JQuery, and JSON in Django from University of Michigan
تنميط متقدم بتصميم سريع الاستجابة from University of Michigan

Mobile Development Courses (24)

The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(5)
Multiplatform Mobile App Development with Web Technologies from The Hong Kong University of Science and Technology ★★★★★(3)
Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
CS50’s Mobile App Development with React Native from Harvard University ★★★★☆(1)
CS 193a: Android App Development Winter 2019 from Stanford University ★★★★★(1)
Multiplatform Mobile App Development with React Native from The Hong Kong University of Science and Technology ★★★★☆(1)
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
Mobile Application Experiences 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
Programming Mobile Applications for Android Handheld Systems: Part 1 from University of Maryland, College Park ★★★★☆(41)
Programming Mobile Applications for Android Handheld Systems: Part 2 from University of Maryland, College Park ★★★★☆(15)
Creative, Serious and Playful Science of Android Apps from University of Illinois at Urbana-Champaign ★★★★★(8)
Introduction to Mobile Application Development using Android from The Hong Kong University of Science and Technology ★★★★☆(2)
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
Android Graphics with OpenGL ES from Imperial College London
Introduction to Android graphics from Imperial College London
Advanced App Development in Android Capstone from Imperial College London
iOS App Development Basics from University of Toronto ★★★★☆(2)
App Design and Development for iOS from University of Toronto
Build Your Own iOS App from University of Toronto

Game Development & VR Courses (8)

CS50’s Introduction to Game Development from Harvard University ★★★★☆(5)
Creating Video Games (Fall 2014) from Massachusetts Institute of Technology
How Virtual Reality Works from University of California, San Diego
Worldbuilding for Video Games from The University of British Columbia
Augmented Reality, Virtual Reality, and Mixed Reality: Opportunities and Issues Teach-Out from University of Michigan
Creating Virtual Reality (VR) Apps from University of California, San Diego
Computer Graphics from University of California, San Diego ★★★★☆(6)
Interactive Computer Graphics from University of Tokyo

Network Security Courses (3)

Software Defined Networking from Georgia Institute of Technology ★★★★☆(8)
Stanford Seminar – Security and the Software Defined Network from Stanford University ★★★★★(2)
Software Defined Networking from The University of Chicago

Cryptography Courses (6)

Cryptography I from Stanford University ★★★★★(53) ⭐
Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(24) ⭐
Cryptography from University of Maryland, College Park ★★★★☆(7)
Cryptography II from Stanford University ★★★★☆(4)
Number Theory and Cryptography from University of California, San Diego
Quantum Cryptography from California Institute of Technology

Information Technology Courses (13)

Information Systems Auditing, Controls and Assurance from The Hong Kong University of Science and Technology ★★★★★(525) ⭐
Information and Communication Technology (ICT) Accessibility from Georgia Institute of Technology ★★★★☆(7)
Foundations of Healthcare Systems Engineering from Johns Hopkins University ★★★★★(1)
Operations and Patient Safety for Healthcare IT Staff from Johns Hopkins University
Healthcare Data Security, Privacy, and Compliance from Johns Hopkins University
The Critical Role of IT Support Staff in Healthcare from Johns Hopkins University
Health Information Technology Fundamentals from Johns Hopkins University
Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
Leadership and Management for PM Practitioners in IT from University of Washington
Portfolio Management, Governance, & the PMO from University of Washington
Moving to the Cloud from University of Melbourne
Unix Tools: Data, Software and Production Engineering from Delft University of Technology ★★★★★(12)
The Unix Workbench from Johns Hopkins University ★★★★★(4)

Internet of Things Courses (23)

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
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
[New] Fog Networks and the Internet of Things from Princeton University ★★★★☆(3)
Stanford Webinar: IOT – From Smart Sensors to Smart Networks from Stanford University
IoT Devices from University of Illinois at Urbana-Champaign ★★★★★(1)
Industrial Internet of Things (IIoT) from University of Michigan
Internet of Things: Multimedia Technologies 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 Capstone V2: Build a Mobile Surveillance System from University of California, San Diego
Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
Internet of Things Capstone: Build a Mobile Surveillance System from University of California, San Diego
Internet of Things V2: Setting up and Using Cloud Services from University of California, San Diego
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
Creative Audio Programming on the Raspberry Pi from University of New South Wales ★★★★★(2)
Designing Hardware for Raspberry Pi Projects from Johns Hopkins University
Beginning Custom Projects with Raspberry Pi from Johns Hopkins University
Using Sensors With Your Raspberry Pi from Johns Hopkins University
Communications and High-Speed Signals with Raspberry Pi from Johns Hopkins University

Healthcare Informatics Courses (23)

[New] Best Practices for Biomedical Research Data Management (HE) from Harvard Medical School ★★★★★(64)
Health Informatics on FHIR from Georgia Institute of Technology ★★★★☆(4)
Stanford Webinar – Using Electronic Health Records for Better Care from Stanford University ★★★★★(3)
Leading Change in Health Informatics from Johns Hopkins University ★★★★★(3)
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) from Columbia University ★★★★★(2)
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) from Columbia University ★★★★☆(1)
Health Informatics: A Current and Historical Perspective from Georgia Institute of Technology ★★★★★(1)
Health Informatics: Data and Interoperability Standards from Georgia Institute of Technology ★★★★★(1)
Health Informatics in the Cloud from Georgia Institute of Technology ★★★★☆(1)
Introduction to Clinical Data from Stanford University
Evaluations of AI Applications in Healthcare from Stanford University
AI in Healthcare Capstone from Stanford University
Fundamentals of Machine Learning for Healthcare from Stanford University
Global Health Informatics to Improve Quality of Care from Massachusetts Institute of Technology
The Social and Technical Context of Health Informatics from Johns Hopkins University
Culminating Project in Health Informatics from Johns Hopkins University
The Data Science of Health Informatics from Johns Hopkins University
The Outcomes and Interventions of Health Informatics from Johns Hopkins University
Introduction to Digital Health Entrepreneurship from Johns Hopkins University
Computing for Cancer Informatics from Johns Hopkins University
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective) from Columbia University
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 (10)

Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign
[New] Startup Engineering from Stanford University ★★★★★(8)
Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(6)
Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign
Cloud Systems Software from Georgia Institute of Technology
Cloud Applications from Georgia Institute of Technology
Cloud Computing from University of Illinois at Urbana-Champaign
Cloud Computing Project from University of Illinois at Urbana-Champaign
Implementation Strategies: Cloud Computing from The University of British Columbia

Quantum Computing (17)

[New] Quantum Information Science I, Part 1 from Massachusetts Institute of Technology
Stanford Seminar – How to Compute with Schrödinger’s Cat: An Introduction to Quantum Computing from Stanford University
[New] Quantum Information Science II: Efficient Quantum Computing – fault tolerance and complexity from Massachusetts Institute of Technology
Quantum Machine Learning from University of Toronto ★★★★★(1)
Introduction to Quantum Computing from The University of British Columbia ★★★★☆(1)
The Quantum Internet and Quantum Computers: How Will They Change the World? from Delft University of Technology
[New] Quantum Information Science I, Part 2 from Massachusetts Institute of Technology
[New] Quantum Information Science I, Part 3 from Massachusetts Institute of Technology
[New] Quantum Information Science II: Quantum states, noise and error correction from Massachusetts Institute of Technology
[New] Quantum Information Science II: Advanced quantum algorithms and information theory from Massachusetts Institute of Technology
Fundamentals of Quantum Information from Delft University of Technology
Introduction to Quantum Computing for Everyone from The University of Chicago
Introduction to Quantum Computing for Everyone 2 from The University of Chicago
Quantum Computer Systems Design I: Intro to Quantum Computation and Programming from The University of Chicago
Quantum Computer Systems Design II: Principles of Quantum Architecture from The University of Chicago
Quantum Computer Systems Design III: Working with Noisy Systems from The University of Chicago
Introduction to Quantum Information from Korea Advanced Institute of Science and Technology