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.

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.

Preschool Data Toolbox is part of the Early Math with Gracie & Friends® math-focused preschool curriculum supplement that includes both classroom and at-home resources. Findings from a pilot study suggest that the use of Preschool Data Toolbox and the corresponding hands-on activities has potential for helping preschoolers learn about data collection and analysis.

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.

In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. Oracle estimated over 2 million R users worldwide in 2012, cementing R as a leading programming language in statistics and data science.