π₯οΈ Week 09 Lecture
Methodology Design and Exploratory Data Analysis
π Logistics
Time and Location: Thursday, 27 November 2025, 16:00 - 18:00, CLM 5.02
π Preparation
- Review your current βοΈ Mini-Project 2 methodology
- Bring your MP2 notebooks for the workshop activities
π Lecture Materials
Interactive slides with collaborative activities. More examples will be added to the slides after Thursdayβs lecture.
Hour 1 (16:00 to 17:00): Methodology Clinic
This first hour is a (hopefully very fun and useful) interactive workshop activity where you will pitch your methodology ideas to your peers and receive structured feedback on your approach.
To accomplish this, I will use a very popular framework from the business world (S.M.A.R.T.) to help you see if what you are doing in your βοΈ Mini-Project 2 project is actually a good idea.
Hour 2 (17:00 to 18:00): Important considerations in Exploratory Data Analysis (EDA)
I will bring a few examples of things to always look out for in your NB03 (and sometimes NB02) when it comes to exploring the data in search of insights.
I will talk about:
- The checks to do on your data at the start of your analysis (are there any missing values? are there any weird values?)
- What to do (if anything) with outliers? (and what are outliers?)
- What do you mean by βaverageβ? (when to use mean, median, or mode? how to talk about uncertainty in data?)
- Repeat after me: βcorrelation does not imply causationβ (see fun examples here)
π¬ Lecture Slides
Note that the slides will still go through change until the day of the lecture
Use keyboard arrows to navigate. Select the slides below or view fullscreen.
π Appendix
PostβLecture Actions
- Refine your MP2 methodology using the feedback you received
- Continue working on βοΈ Mini-Project 2 (due W10)
Useful Links
- βοΈ Mini-Project 2 (due W10)
DS105A Claude Project
- π Syllabus
Looking Ahead
- Mini-Project 2: Due Week 10 Wednesday 8 pm
- Week 10: Final MP2 support and advanced concepts
- Week 11: Group project planning and collaboration workflows
