CourseKata for College Students
CourseKata Statistics and Data Science is a 100% free interactive online textbook. It is being used at numerous colleges and universities across a wide range of academic disciplines, including Mathematics, Statistics, Psychology, Sociology, and Political Science.
An Online Textbook Suitable for Live or Remote Instruction
CourseKata Statistics and Data Science can replace your current introductory textbook. It is best used in a blended learning situation in which students work through the textbook for homework, and convene with their teacher—either face-to-face or virtually—to discuss key concepts and new data analysis examples.
A Growing Library of In-Class Materials
In addition to the 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.Request an instructor account
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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.
- On-boarding Session
- Study Group
- Office Hours
This textbook will definitely educate students with an enriching understanding of statistical concepts. This is not a book that requires formula memorization or number crunching. The use of R commands eliminates the need for that…I will definitely use this book again. Students will leave the course with an excellent conceptual understanding of statistics.
I found the CourseKata materials to be refreshingly modern—it completely transformed the way I teach statistics. By taking a modeling approach, I was able to foster a deep, conceptual understanding in my students, one that I always suspected was lacking teaching out of a traditional textbook. Jupyter notebooks have made integrating R into my classroom that much easier, and have served as a perfect complement to the interactive textbook. My students are leaving my class with both a practical skillset and a deeper understanding of the world around them.