Week 1 (16 Sep 2024 - 20 Sep 2024)
Get acquainted with the course, the technology, the workflow, and the skills you will acquire throughout the semester.
Each week you will be given a series of tasks to do. Normally these tasks can be done in any order, however this week it is strongly advised that you follow the order below. This week you have to...
No. |
Title |
Slides |
Additional |
---|---|---|---|
01 | Welcome | Raw | |
02 | Introduction to the toolkit | 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!
Course Components, Assessments, Policies | Required | |
R4DS: Chp 1, Introduction | Required | |
R4DS: Chp 6, Workflow: scripts | Required | |
IMS: Chp 1, Hello Data | Required | |
Happy Git and GitHub for the useR | Optional | |
How to read an R help page | Optional | |
How R changed me as an analyst | Optional |
This week's workshop will help you get familiar with the workflow for the rest of the course. The lab sheet can be accessed the day before the workshop, and the solutions the day after the workshop.
Laboratory Title |
Links |
Date |
---|---|---|
Lab00: Hello IDS! | Fri, 20 Sept |