Data Science in a Box is a fully developed curriculum for an introductory data science course in the R programming language. The curriculum contains high-quality instructional videos, slides, and activities developed by leaders in the Data Science community. The curriculum incorporates readings from two OER texts: R for Data Science and Introduction to Modern Statistics. In addition to providing instructional resources for students, the curriculum also provides guidance for faculty on implementation, pacing, and assessment of student learning. The curriculum has excellent accessibility and adaptability. It is freely available via a GitHub repository which enables all materials (slides, assignments, assessments) to be downloaded and edited. The curriculum is well organized. The videos are well developed, contain accompanying slides, and present clear and engaging examples that foster understanding and fluency with R. The online texts are well written, well organized, modular, and contain useful examples and exercises for students. The texts complement the activities well and strengthen student understanding of data science and statistics in meaningful ways.
- Subject:
- Mathematics
- Statistics and Probability
- Material Type:
- Activity/Lab
- Assessment
- Data Set
- Full Course
- Homework/Assignment
- Author:
- Mine Çetinkaya-Rundel.
- Date Added:
- 01/04/2022