MA7BY020 Syllabus

NoteSchedule
Day Time Location Start
Lab session 1 Monday 16:00-17:30 Sophie Germain 2017 2026-01-12
Lab session 2 Friday 16:45-18:15 Sophie Germain 2011 2026-01-16

NoteOrganization

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.

NoteObjectives

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 R programming language for data analysis.
  • build an R package,
  • write reports, design presentations, and possibly build dashboards in the quarto document format.
NoteCommunication

Material is available from s-v-b.github.io/MA7BY020

Moodle

Subscribe to Moodle portal

NoteSoftware
NoteReferences
NoteCourse material

Slides

Labs are available (html and pdf)

Labs with corrections are available

Important

  • 2 projects:

    • \(\textsf{P}_1\) Visualization + Table Manipulation
    • \(\textsf{P}_2\) Regression/SVD/Clustering + Packaging

  • Grading

\[.5 \textsf{P}_1 + .5 \textsf{P}_2\]

WarningCode of conduct

TL;DR: No cheating!

ImportantSave the dates !

Click here for U Paris Cite Calendar.

Click here for M1 MIDS Calendar

NoteUniversité Paris Cité

Useful links: