CourseKata Statistics and Data Science for High School Students

CourseKata is a rigorous introduction to modern statistics and data science designed to be accessible to all students. It dissolves barriers that have been blocking too many students from opportunities in higher education and high tech careers.

Out of date mathematics courses and requirements have served no one well. It is past time to modernize the mathematics curriculum in high schools to align with modern demands in higher education and careers.

CourseKata is for everyone interested in how data and computers are being used today in so many fields. Universities are accepting Data Science as a valid alternative to Algebra II for admission requirements, and are increasingly supporting Data Science pathways across the curriculum. Employers are looking for recruits with experience in modern data science based on coding and computational tools.

Pyramid High School

Rigorous and Modern Content

CourseKata is a rigorous course, but because it is taught from the perspective of modern computational methods, it depends less on detailed prior knowledge from earlier mathematics courses. The rigor comes from the challenge of the assignments and the quality of the work expected of students. The challenges are new; they are not framed as recall from earlier courses. This empowers students and teachers to learn in an exciting new way. Instead of algebra being viewed as a prerequisite, algebra is used to do the work of data science. Students use algebra to accomplish meaningful work rather than experiencing it as the anxiety inducing language of tests and quizzes. In this way, algebra knowledge and skill, especially modeling with functions, is developed along with their sense of agency, identity and belonging in a high tech world.

All students learn coding in R, the language used in college and industry for data science applications. No prior experience with coding is necessary; R is taught from day one. Most assignments involve writing code which is then executed right within the digital textbook. If the student makes a coding error, they get an error message just as they would on the job. Then, just like on a real job, they try again… and again…until it works. Only then do they ‘publish’ their work in Jupyter Notebooks, just as in the real world of data science. Ambitious students in CourseKata have regular opportunities to take on challenging projects comparable to work expected in college courses.

CourseKata can be taken instead of Algebra II, after Algebra II, or before Algebra II/Precalc. After CourseKata, a student could continue with a more advanced college course in Data Science and Statistics and/or head for Calculus through Algebra II-Precalc combination course. In some districts, the second Data Science course might also be dual-enrollment or college credit bearing. Bottom line: CourseKata Data Science and Statistics is for all students--those who want to re-engage with math through context and real-life meaning and those who want to accelerate into a parallel, rigorous pathway into the growing field of Data Science.

A Growing Library of In-Class Materials

In addition to our online textbook, CourseKata has a growing library of resources such as syllabi and assessments shared by other instructors, and Jupyter notebooks with data analysis activities that can be conducted in class. CourseKata’s cloud-hosted JupyterHub server is fully integrated with the online textbook, with tools instructors can use to easily distribute, collect back, and grade notebooks from students.


Professional Development & Support

CourseKata provides extensive professional development before the course begins. Throughout the year, the team provides weekly Zoom “office hours” for instructors, researchers, and designers to collaborate to make teaching the course as seamless as possible. These sessions also provide valuable insights about how to continuously improve the online book and approach.

  • Webinar
  • On-boarding Session
  • Study Group
  • Office Hours

Where is CourseKata Statistics and Data Science Being Taught Now?