QuantHub provides educators with an AI-driven platform to enhance data literacy education. It offers personalized learning journeys for each student, adapting to their unique pace and style, thus ensuring effective and engaging data skill development in the classroom. We are on a mission to provide all learners equal access to data science education.

The Joint Committee of the American Statistical Association and National Council of Teachers of Mathematics has developed 16 lessons using US Census data to develop projection models of future population distributions of various countries. In the lessons, students address how the changes in the distribution over time affect a country's economic and social conditions.

Udemy offers full courses on a wide range of topics related to data science. Course themes include statistics, machine learning, and programming in many different languages. Courses often include hands-on exercises and datasets are provided. There are courses available for all levels of learner.

The Stanford Data Challenge Lab's Open Content offerings include curriculum readings, interactive textbooks, and practical exercises. Students explore data science applications including data wrangling, modeling, visualizations, and regression.

Trailhead by Salesforce encourages students and teachers to expand their skill set by learning from Trailblazers, asking questions on key topics, and with self-paced integrated Trailhead modules. In the "Build Your Data Literacy" trail, students learn how to interpret, explore, and communicate effectively with data.

WolframU's Visual Explorations in Data Science course introduces a visual, example-driven approach to learning the process of data science. Students will use the Wolfram Language, perform data analyses, employ basic statistical concepts and customize and explore visualizations.

Strive Math offers classes to students aged 8-16 to teach them math through code. Students work with inspiring teachers to code art, games, and visualizations aligned to their school math syllabus.

Udacity offers a variety of Data Science courses and training materials. The Data Analysis and Visualization course is in partnership with Georgia Tech and introduces students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.

edX offers a wide range of full courses from university instructors covering everything from data science fundamentals to coding in different languages and platforms, data visualization, machine learning, and statistics. Users have the option to complete certifications or earn academic credits upon completion of each course.