**249 Research Hall**

By the end of the course, students will be able to:

- Use Github for collaborating on a reproducible research document
- Obtain, clean, transform, and visualize a dataset using the R programming language
- Interpret, and predict dataset trends using statistical inference and models
- Critically examine and interpret statistical claims reported in mass media

*Hadley Wickham*

*Garrett Grolemund*

This book will teach you how to do data science with R: Youâ€™ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

The grading categories for CDS-101 are the following:

Category | Weight |
---|---|

Participation | 10% |

Reading responses | 10% |

Homework | 30% |

Midterm project | 25% |

Final project | 25% |