MA7BY020 Syllabus
Schedule
Organization
We will have two weeky sessions of 1+1/2 hours each. Each session is organized around a Lab. We will switch from blackboard to laptop and back. You are invited to bring your laptop to the lab sessions.
We will not attempt to complete the labs during the sessions. You are expected to complete the labs on your own time. Solutions (at least partial solutions) are available on the course website.
You can fork the course repository and post issues, comments, and corrections.
Objectives
The objectives of course Introduction to Exploratory Data Analysis are to develop the ability to:
- perform data collection, tidying, and management,
- compute statistics for summarizing data,
- visualize the output of data analysis in the Grammar of Graphics framework,
- use the
Rprogramming language for data analysis. - build an
Rpackage, - write reports, design presentations, and possibly build dashboards in the
quartodocument format.
Communication
References
- Bin Yu and Rebecca Barter, Veridical Data Science
- Hadley Wickham, ggplot2: Elegant Graphics for Data Analysis
- Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund, R for Data Science
- Hadley Wickham, Advanced R
- Hadley Wickham and Jennifer Bryan., R packages
- Hadley Wickham, Mastering Shiny
kaggle
3 projects:
- \(\textsf{P}_1\) Visualization
- \(\textsf{P}_2\) Regression
- \(\textsf{P}_3\) Packaging
Grading
\[.2 \textsf{P}_1 + .3 \textsf{P}_2 + .5 \textsf{P}_3\]
Code of conduct
TL;DR: No cheating!
Save the dates !
Click here for U Paris Cite Calendar.
Click here for M1 MIDS Calendar