**Online**

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% |

Module exercises | 10% |

Homework | 30% |

Midterm project | 25% |

Final project | 25% |