2Sigma School offers FREE hands-on workshops for high school students to expand their knowledge and skills in topics like data science, Python, and Java. Workshops are offered in 2-hour time blocks on Saturdays & Sundays.

Coursera offers full courses taught by leading professors and experts in the field. Courses include lectures and graded assignments, and topics include data science basics, introductions to different programming languages, data visualization, and practical applications. Students can earn academic credits or professional certifications for completing courses.

Google's Machine Learning Crash Course is a self-study resource for students to learn and apply fundamental machine learning concepts and get real-world experience with an associated Kaggle competition. It features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Khan Academy offers free online courses featuring videos and interactive practice questions on a wide range of data literacy topics. The options include introductory data fundamentals for early learners, 2nd, and 3rd grade; statistics, probability, and modeling courses for middle school learners; and full statistics and computer science courses for high school and college students.

Algo-rhythm is an interactive game that introduces kids to the world of data science through a medium we all love: music! Kids are encouraged to examine the data that creates and colors the music they love.

Crash Course Data Literacy is a 15-video series that explores data literacy fundamentals. By the end of the course, students will be able to define foundational statistical concepts, explain methods for visualizing data, locate datasets, analyze data, and recognize ethical issues connected to data interpretation.

HAI LABS is a practical self learning web application for students to explore and gain access to data science activities and projects. Students will have an increased understanding of data science and data literacy by applying the math and science that they learn in class to HAI LABS activities.

LinkedIn's Learning platform has a large library of short courses centered around a specific data science topic. Courses vary from data science fundamentals to visualization to coding in specific languages. Many of the courses are geared toward business and professional applications, but the skills are still transferable to other contexts.

Calling Bullshit is a syllabus offered by the University of Washington. The syllabus includes a 12 week long reading list that is dedicated to helping learners develop the skills needed to identify bullshit through the use of data interpretation, visualizations, and more.

DataCamp has a deep catalog of courses focused on everything data-related: an introduction to data literacy, visualization methods, spreadsheet skills, and machine learning. DataCamp also offers courses to learn coding and practice in platforms including Tableau, R, and Python. All coding is done within the DataCamp browser so there is no need to install any external platforms.

IBM SkillsBuild features courses in a variety of lengths that introduce data science fundamentals including data science tools, methodology, and business applications.

This full course from MIT professors offers live weekly virtual sessions, personalized mentorship, and the opportunity for students to work on 7 guided projects (including a capstone) throughout the semester. Lesson topics include Python, deep learning, data visualization, machine learning and neural networks.