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Open CourseWare

edX

This guide provides information about edX Open Courses. 

edX is a web-based courses available to the world. edX provides about 3900+ courses. These courses are:

Data Science

  • AI for Everyone: Master the Basics
  • Algorithmic Design and Techniques
  • Algorithms and Data Structures Capstone
  • Amazon SageMaker: Simplifying Machine Learning Application Development
  • Analytics in Python
  • Analyzing and Visualizing Data with Excel
  • Analyzing and Visualizing Data with Power BI
  • Analyzing and Visualizing Data with Power BI
  • Analyzing Data with Python
  • Animation and CGI Motion
  • Applied Deep Learning Capstone Project
  • Architecture, Algorithms, and Protocols of a Quantum Computer and Quantum Internet
  • Artificial Intelligence
  • Artificial Intelligence (AI)
  • Automata Theory
  • Basics of Computing and Programming
  • Big Data
  • Big Data Analytics
  • Big Data Analytics Using Spark
  • Big Data and Education
  • Big Data Capstone Project
  • Big Data Fundamentals
  • Business Analytics for Data-Driven Decision Making
  • C Programming with Linux
  • Cloud Computing
  • Cloud Computing Management
  • Compilers
  • Computational Thinking using Python
  • Computer Science for Web Programming
  • Computer Vision and Image Analysis
  • Computing for Data Analysis
  • Computing in Python I: Fundamentals and Procedural Programming
  • Computing in Python II: Control Structures
  • Computing in Python III: Data Structures
  • Computing in Python IV: Objects & Algorithms
  • CS50's AP® Computer Science Principles
  • CS50's Introduction to Artificial Intelligence with Python
  • CS50's Introduction to Computer Science
  • CS50's Web Programming with Python and JavaScript
  • Data Analysis: Essential Skills
  • Data Analytics for Business
  • Data Science (Harvard)
  • Data Science
  • Data Science and Machine Learning Capstone Project
  • Data Science Research Methods: Python Edition
  • Data Science Tools
  • Data Science: Capstone
  • Data Science: Computational Thinking with Python
  • Data Science: Inference and Modeling
  • Data Science: Inferential Thinking through Simulations
  • Data Science: Linear Regression
  • Data Science: Machine Learning
  • Data Science: Machine Learning and Predictions
  • Data Science: Probability
  • Data Science: Productivity Tools
  • Data Science: R Basics
  • Data Science: Visualization
  • Data Science: Wrangling
  • Data Structures Fundamentals
  • Decision-Making for Autonomous Systems
  • Deep Learning
  • Deep Learning Explained
  • Demystifying Biomedical Big Data: A User’s Guide
  • Dynamic Programming: Applications In Machine Learning and Genomics
  • Electric and Conventional Vehicles
  • Enabling Technologies for Data Science and Analytics: The Internet of Things
  • Essential Math for Machine Learning: Python Edition
  • Ethics and Law in Data and Analytics
  • Ethics in AI and Big Data
  • Front-End Web Developer
  • Fundamentals of Red Hat Enterprise Linux
  • Fundamentos TIC para profesionales de negocios
  • Graph Algorithms
  • Graph Algorithms in Genome Sequencing
  • Hybrid Vehicles
  • Introduction to Artificial Intelligence (AI)
  • Introduction to Big Data
  • Introduction to Cloud Infrastructure Technologies
  • Introduction to Computer Science and Programming Using Python
  • Introduction to Data Science
  • Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching
  • Introduction to Java Programming
  • Introduction to Python for Data Science
  • Introduction to Python Programming
  • Introduction to Python: Absolute Beginner
  • Introduction to Python: Fundamentals
  • IT Fundamentals for Business Professionals
  • Knowledge Management and Big Data in Business
  • Machine Learning
  • Machine Learning for Data Science and Analytics
  • Machine Learning Fundamentals
  • Machine Learning with Python: A Practical Introduction
  • MATLAB and Octave for Beginners
  • MATLAB et Octave pour débutants
  • Mining Massive Datasets
  • Model-Based Automotive Systems Engineering
  • Multi-Object Tracking for Automotive Systems
  • Natural Language Processing (NLP)
  • NP-Complete Problems
  • Predictive Analytics using Python
  • Principles of Machine Learning: Python Edition
  • Probability and Statistics in Data Science using Python
  • Processing Big Data with Azure Data Lake Analytics
  • Professional Certificate HarvardX Data Science
  • Programming for Data Science
  • Python Basics for Data Science
  • Python Data Science
  • Python Data Science
  • Python Data Structures
  • Python for Data Science
  • Quantum 101: Quantum Computing & Quantum Internet
  • Quantum Machine Learning
  • Reinforcement Learning Explained
  • Road Traffic Safety in Automotive Engineering
  • Robotics
  • Robotics: Dynamics and Control
  • Sensor Fusion and Non-linear Filtering for Automotive Systems
  • Software Construction: Data Abstraction
  • Software Development
  • Software Engineering: Introduction
  • Speech Recognition Systems
  • SQL for Data Science
  • Statistical Thinking for Data Science and Analytics
  • Statistics and Data Science
  • String Processing and Pattern Matching Algorithms
  • The Business of Mining
  • The Data Science Method
  • The Hardware of a Quantum Computer
  • The Quantum Internet and Quantum Computers: How Will They Change the World?
  • Using Python for Research
  • Visualizing Data with Python