Discover Data Science is a comprehensive resource dedicated to helping students looking to get the most from their education benefits.  The focus is to help connect prospective students to resources that will help them achieve their Data Science career goals

Full free access to ft.com including articles and questions picked by teachers in social studies topics; extensive data and charts; and the FT visual vocabulary on fair presentation of statistics

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.

Early Math with Gracie and Friend's Data Collection and Analysis Teachers guide provides background information, professional learning resources for teachers, lessons, and a link to the free Preschool Data Toolbox app. The Teachers Guide includes six investigations to support teachers and children as they collect, graph, and use data to answer research questions and have meaningful discussions about data. Lessons use picture books, hands-on materials, and the Preschool Data Toolbox app.

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.

The NYC Data Science Academy's Introduction to Data Science course takes a project-oriented approach to teaching students how to utilize Python to solve data science challenges. This course starts with an introduction to Python so no prior experience is required.

An Excel tutorial that includes step-by-step guides, including instructions for utilizing the data analysis features in Excel.

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.

The OSU STEMcoding Project has a YouTube channel where they provide a variety of lessons on computer programming. They also provide additional activities for high school physics and coding classes.