

π₯οΈ Week 01 Lecture
From Data to Insight: The Importance of Clean Data
π Logistics
Time and Location: Friday, 2 October 2025, 16:00 - 18:00, CLM 5.02
This is our first live session together. By now, you should have engaged with the π Week 01 Practice and joined Slack before the session.
π Preparation
- Take a look at the π Syllabus
- Complete the π W01 Practice
π£οΈ Lecture Overview
- The data science workflow: the big picture and why it matters
- Why tabular data is fundamental for analysis
- A hook to set up the second hour
- After the break: platforms and interfaces (Nuvolos, VS Code, notebooks)
- Share your examples via Slack for live commentary
π¬ Lecture Slides
Use keyboard arrows to navigate. Select the slides below or view fullscreen.
Or download the slides directly as a PDF:
The Data Science Workflow: For a complete explanation of what happens at each stage of the data science workflow presented in the lecture, visit the 3οΈβ£ Data Science Workflow guide.
This reference will be useful throughout the course whenever you need to orient yourself within a project or understand what you should be producing at each stage.
π Appendix
PostβLecture Actions
- Review todayβs lecture slides
- Skim the π» W01 Lab instructions
- Post questions in
#help
on Slack
Useful Links
Looking Ahead
- Next week: the foundations of Python for data science