Data Science in a Box is a fully developed curriculum for an …
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.
This short video and interactive assessment activity is designed to teach second …
This short video and interactive assessment activity is designed to teach second graders about decomposing decimals into place values up to hundredths.
This short video and interactive assessment activity is designed to teach fourth …
This short video and interactive assessment activity is designed to teach fourth graders about completing the expanded forms of numbers (place values to 1,000).
This short video and interactive assessment activity is designed to teach second …
This short video and interactive assessment activity is designed to teach second graders about identifying digit values in numbers (numbers to 10,000).
No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make derivative works.
Most restrictive license type. Prohibits most uses, sharing, and any changes.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.