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.

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.

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.

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

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.

This book is an age-inclusive no-coding reference book for data visualization. Each chapter includes exercises (with solutions). It's intended uses range from traditional classroom instruction, homeschooling, and personal enrichment for ages 10+, including adults.

DataCamp Donates is providing access to free data science training opportunities worth over $399 USD!

DataCamp offers over 410 courses on the latest technologies, practice exercises to sharpen your skills, assessments to test your knowledge on the subject matter, and projects that stem from real world queries. You'll even get access to extra features like Workspace, Certification, and Jobs!

DataCamp is committed to providing data training and bridging the skill gap. K-12 educators are the primary target applicants for this program, though anyone may apply.

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.

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.

“DataBytes” are quick (30 minutes or less) activities designed for students to engage with data that tells a story. Similar to “number talks,” they invite students to critically analyze and interpret data in ways that connect to their lives and the larger world.

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

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.