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Mathematics, physics, chemistry, astronomy, earth and environmental science.
19,707 courses
Harvard University
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Harvard University
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University
This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Harvard University
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Harvard University
Learn basic data visualization principles and how to apply them using ggplot2.
Harvard University
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
Princeton University
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part…
Harvard University
Learn about the Earth, life, and how we can search for life elsewhere in the universe.
Princeton University
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part…
MITx
Learn how to write programs that are safe from bugs, easy to understand, and ready for change.
MITx
Learn how to write programs that are safe from bugs, easy to understand, and ready for change.
Harvard University
Show what you've learned from the Professional Certificate Program in Data Science.
MITx
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recomm…
