Data 198: Introduction to Real World Data Science 
UC Berkeley, Spring 2026
Week 1 Announcements
- Complete this week’s lab notebook by Next Monday at 5PM (Beginnner -> only Part 1, Advanced -> Parts 1 & 2)
- With your group, work on the project timeline to create a weekly plan with your group on main goals you want to achieve and how to achieve them!
Week 1
- Feb 9
- 1 Welcome, Icebreakers, Data Science Lifecycle, Course Expectations 🧊
- Lecture Slides
Week 2
- Feb 16
- 2 No Lecture (President’s Day)
Week 3
- Feb 22
- 3 Useful Libraries, Introduction to Pandas, Data Cleaning and Manipulation, Project Group Reveals! 🐼
- Lecture Slides
- Textbook Chapter 2 - Intro to Pandas
- Resources Project Timeline
- Lab Notebook Lab 01: Intro to Pandas
- Lightning Talk Planning the Data Science Major
- Lecture Slides
Week 4
- Mar 2
- 4 EDA, Data Visualization
- Lecture Slides
- Textbook Chapter 3 - EDA / Data Visualization
- Lab Notebook Lab 02: EDA & Visualizations
- Lightning Talk Kickstarting your Career
- Lecture Slides
Week 5
- Mar 9
5 Hypothesis Testing and Probability
- Lecture Slides
- Textbook Chapter 4 - Hypothesis Testing and Probability
- Lab Notebook Lab 03: Hypothesis Testing and Probability
- Lecture Slides
Week 6
- Mar 16
- 6 Feature Engineering and Selection
- Lecture Slides
- Kaggle Resource Feature Engineering
- Textbook Chapter 5 - Feature Engineering and Selection
- Lab Notebook Lab 04: Feature Engineering
- Lecture Slides
Week 7
- Mar 23
- 7 No Lecture (Spring Break)
Week 8
- Mar 30
- 8 ML and Modelling 1 🎰
- Lecture Slides
- Demos Machine Learning
- Lecture Slides
Week 9
- Apr 6
- 9 ML and Modelling 2
- Lecture Slides
- Demos Machine Learning Evaluation
- Lecture Slides
Week 10
- Apr 13
- 10 ML and Modelling 3 🎰
- Lecture Slides
- Demos Machine Learning
- Lecture Slides
Week 11
- Apr 20
- 11 Symposium I
Week 12
- Apr 27
- 12 Symposium II