Week 5
Tips for effective communication of results, and collaboration. Intro to Data Visualization.
No. |
Title |
Slides |
Additional |
|---|---|---|---|
| 09 | Doing Data Science | Raw | |
| 10 | Visualising data | Raw |
Lecture Recordings
Lecture recordings are only available for IDS students via the University of Edinburgh virtual learning environment. To access the recordings, go to the Introduction to Data Science area on LEARN ULTRA and select Lecture Recordings under the Course Content section. This will open echovideo where you will find a list of all lecture recordings to watch once they become available.
Some of this material is required and some of it is optional. We expect you to watch the required videos and read the required reading. This required material is part of the course so it may be assessed in the assignments and it may not be covered in the lectures. The optional material is extra reading for those that are interested!
| IMS: Chp 2 - Study design | Required | |
| Tidyverse style guide: Part 1 - Analyses (Chp 1-5) | Optional | |
| minutephysics: Simpson’s Paradox | Optional | |
| R4DS: Chp 3 - Data visualisation | Required | |
| Data Visualization: Chp 3 - Make a plot | Required | |
| RSS Guide: Why we visualise data | Optional |
In this week's workshop you will begin on your group projects. You will find all the information you will need about the group projects here.
Next week you will have a 'check-in' discussion with a tutor. As such, it is highly recommended that you arrange a group meeting before the next workshop to discuss your data, perform some preliminary investigations and to think of a problem statement.