Lectures
The format of the lectures will be a combination of traditional lectures followed by a live demo of the material taught followed by tutorial session for the rest of the allotted time. The timeedit schedule can be found here.
You can find the code for the lecture demos in the following Github repository
The lectures are not mandatory, but highly recommended. You will have direct access to me during the allotted lecture times. Use it!
Schedule
Lecture | Date | Topic |
---|---|---|
1 | Tue, Oct 31 13:00 - 17:00 | Introduction. Software, GitHub and Markdown |
2 | Tue 2023-11-07, 13:00 - 17:00 | Cont. Git & Introduction to Dataframes |
3 | Fri 2023-11-10, 13:00 - 17:00 | Visualising Data: Plots |
4 | Tue 2023-11-14, 13:00 - 17:00 | Exploratory Data Analysis |
5 | Fri 2023-11-17, 13:00 - 17:00 | Working with tables: Processing data |
6 | Tue 2023-11-21, 13:00 - 17:00 | Working with tables: Combining data |
7 | Fri 2023-11-24, 13:00 - 17:00 | Basics of SQL |
8 | Tue 2023-11-28, 13:00 - 17:00 | Working with Regular Expressions |
9 | Fri 2023-12-01, 13:00 - 17:00 | REST APIs |
10 | Tue 2023-12-05, 13:00 - 17:00 | Webscraping |
11 | Fri 2023-12-08, 13:00 - 17:00 | Functional Programming |
12 | Tue 2023-12-12, 13:00 - 17:00 | Extra block |
13 | Fri 2023-12-15, 13:00 - 17:00 | Wrap up, Questions about Exam and Project. Session for supervision |
14 | Tue 2023-12-19, 13:00 - 17:00 | Session for supervision. |
15 | Fri 2024-01-12, 12:00 - 18:00 | Project presentation. |