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Computer Science (37) ● CS50's Introduction to Computer Science from Harvard University ★★★★★(78) ● Algorithms, Part I from Princeton University ★★★★★(60) ● Algorithms, Part II from Princeton University ★★★★★(21) ● Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(17) ● Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆(15) ● Machine Learning from Columbia University ★★★★☆(10) ● Artificial Intelligence (AI) from Columbia University ★★★★☆(9) ● Reinforcement Learning from Brown University ★★★☆☆(8) ● Machine Learning from Georgia Institute of Technology ★★★★☆(6) ● Software Defined Networking from Princeton University ★★★★☆(6) ● Computer Architecture from Princeton University ★★★★☆(6) ● Enabling Technologies for Data Science and Analytics: The

Internet of Things from Columbia University ★☆☆☆☆(5) ● Analysis of Algorithms from Princeton University ★★★★★(4) ● Robotics: Perception from University of Pennsylvania ★★★☆☆(3) ● Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3) ● Animation and CGI Motion from Columbia University ★★★☆☆(3) ● Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3) ● Linux Basics: The Command Line Interface from Dartmouth ★★★★★(2) ● C Programming: Modular Programming and Memory Management from Dartmouth ★★★★★(2) ● CS50's Computer Science for Business Professionals from Harvard University ★★★★★(1) ● CS50's Introduction to Computer Science from Harvard University ★★★★★(1) ● CS50's Understanding Technology from Harvard University ★★★★★(1)

● Networks: Friends, Money, and Bytes from Princeton University ★★★☆☆(1) ● C Programming: Pointers and Memory Management from Dartmouth ★★★★★(1) ● C Programming: Using Linux Tools and Libraries from Dartmouth ★★★★★(1) ● C Programming: Language Foundations from Institut Mines-Télécom ★★★★★(1) ● CS50 for Lawyers from Harvard University ● Algorithm Design and Analysis from University of Pennsylvania ● [New] Robotics: Vision Intelligence and Machine Learning from University of Pennsylvania ● Cryptocurrency and Blockchain: An Introduction to Digital Currencies from University of Pennsylvania ● Data Structures and Software Design from University of Pennsylvania ● Computational Thinking for Problem Solving from University of Pennsylvania ● HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective) from Columbia

University ● Computer Science: Algorithms, Theory, and Machines from Princeton University ● Computer Science: Programming with a Purpose from Princeton University ● C Programming: Getting Started from Dartmouth ● C Programming: Advanced Data Types from Dartmouth

Data Science (18) ● Statistics and R from Harvard University ★★★★☆(20) ● Statistical Thinking for Data Science and Analytics from Columbia University ★★☆☆☆(18) ● Data Science: R Basics from Harvard University ★★★★★(8) ● People Analytics from University of Pennsylvania ★★★★☆(5) ● Data Science: Visualization from Harvard University ★★★★★(3) ● High-Dimensional Data Analysis from Harvard University ★★★★☆(3)

● Data Science: Machine Learning from Harvard University ★★★★☆(2) ● Case study: DNA methylation data analysis from Harvard University ★★★★★(2) ● Data Science: Linear Regression from Harvard University ★★★☆☆(2) ● Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University ★★★★★(2) ● Data Science: Wrangling from Harvard University ★★★★★(1) ● Data Science: Productivity Tools from Harvard University ★★★★★(1) ● Data Science: Probability from Harvard University ★★★☆☆(1) ● Data Science: Inference and Modeling from Harvard University ★★★★☆(1) ● Big Data and Education from Columbia University ★★★☆☆(1) ● Data Science: Capstone from Harvard University ● Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University

● Data, Models and Decisions in Business Analytics from Columbia University

For a more in-depth overview of Data Science courses read this series: ● I ranked every Intro to Data Science course on the internet, based on thousands of data points ● The best Data Science courses on the internet, ranked by your reviews ● Every single Machine Learning course on the internet, ranked by your reviews ● If you want to learn Data Science, start with one of these programming classes ● An overview of every Data Visualization course on the internet

Programming (8) ● Using Python for Research from Harvard University ★★★☆☆(9) ● CS50's Web Programming with Python and JavaScript

from Harvard University ★★★★★(4) ● Programming for the Web with JavaScript from University of Pennsylvania ★★★★☆(3) ● The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(2) ● CS50's Mobile App Development with React Native from Harvard University ★★★★☆(1) ● CS50's Introduction to Game Development from Harvard University ★★★★★(1) ● Software Development Fundamentals from University of Pennsylvania ★★★☆☆(1) ● [New] Quantitative Methods for Biology from Harvard University...