Practical Data Science 🛠️
EECS 398-003, Fall 2024 at the University of Michigan
Interested in taking the course next semester? Read this page.
Week 1: Introduction, Python
- Tue Aug 27
LEC 1 Introduction
📝 filled html
GitHub🎥 recording📕 Read: LDS 1Come meet the staff from 3-4PM in the diag in front of BBB!
SUR Welcome Survey
- Thu Aug 29
LEC 2 Python and Jupyter Notebooks
EX HW Example Homework (not due!)
- Fri Aug 30
DISC 1 Introductions, Python Review
Week 2: NumPy and Pandas
- Tue Sep 3
LEC 3 NumPy
- Thu Sep 5
LEC 4 Simulation, DataFrame Fundamentals
HW 1 Python Fundamentals
- Fri Sep 6
DISC 2 Arrays and DataFrames
Week 3: More Pandas
- Tue Sep 10
LEC 5 Querying and Grouping
- Thu Sep 12
LEC 6 Grouping, Pivoting, and Merging
- Fri Sep 13
DIS 3 Grouping, Pivoting, and Merging
HW 2 Arrays and DataFrames
Week 4: Exploratory Data Analysis
- Tue Sep 17
LEC 7 EDA, Data Cleaning, and Visualization
- Thu Sep 19
LEC 8 More Visualization, Missing Values
📝 filled html🎁 more visualization examples GitHub🎥 recording📕 Read: LDS 11📕 Read: Missingness⏯️ extra videosHW 3 Grouping, Pivoting, and Merging
- Fri Sep 20
DIS 4 Visualization, Missing Values, More Practice
Week 5: Web Scraping and APIs
- Tue Sep 24
LEC 9 Web Scraping
📝 filled html GitHub🎥 recording📕 Read: LDS 14.3📕 Read: DSP 7.3Looking for other sources of data for personal projects? Check out our Resources page.
- Thu Sep 26
LEC 10 APIs, Spreadsheets, and SQL
📝 filled html GitHub🎥 recording📕 Read: LDS 7📕 Read: LDS 14.2⏯️ extra videosThe extra video linked above walks through the spreadsheets section of the lecture. The Google Sheet used in the video is linked here.
HW 4 Exploratory Data Analysis and Missing Values
- Fri Sep 27
DIS 5 Web Scraping
Week 6: Text Processing
- Tue Oct 1
LEC 11 Regular Expressions
- Thu Oct 3
LEC 12 Text as Data
HW 5 Web Scraping and APIs
- Fri Oct 4
DIS 6 Regular Expressions and Text Features
Week 7: Midterm Exam
- Mon Oct 7
REV Midterm Review (6-8PM, FXB 1109, led by TAs)
- Tue Oct 8
LEC 13 Midterm Review (during lecture, led by Suraj)
OH Office Hours After Lecture
📝 filled slides📝 filled html GitHub🎥 recordingIn office hours, we walked through questions from past discussions and discussed some of the intricacies of the groupby method. The annotated slides, Jupyter Notebook, and a recording of the session can be found here.
- Wed Oct 9
EXAM Midterm Exam (7-9PM)
- Thu Oct 10
No Lecture: (Early) Fall Break 🍁
- Fri Oct 11
No Discussion: (Early) Fall Break 🍁
Week 8: Fall Break; Introduction to Modeling
- Tue Oct 15
No Lecture: Fall Break 🍁
- Thu Oct 17
LEC 14 Introduction to Modeling
HW 6 SQL, Regular Expressions, and GPTEECS
- Fri Oct 18
DIS 7 Summary Statistics and the Constant Model
Week 9: Regression
- Tue Oct 22
LEC 15 Simple Linear Regression
- Thu Oct 24
LEC 16 Regression using Linear Algebra
🌗 blank slides📝 filled slides📝 filled html GitHub🎥 recording📕 Read: LDS 15.4-15.5📕 Read: UCSD 2.2In addition to the resources above, it's a good idea to review Linear Algebra Review for Data Science (LARDS), Section 8, titled Projecting onto the span of multiple vectors, again.
HW 7 Loss Functions and Linear Algebra
GitHub📕 Read: Maximum Likelihood Estimation (for Question 4)📝 solutionsNote that you will submit Homework 7 as a PDF containing your answers to math questions – you will not submit any code!
- Fri Oct 25
DIS 8 Linear Regression
Week 10: More Regression, Feature Engineering
- Tue Oct 29
LEC 17 Multiple Linear Regression and Feature Engineering
📝 filled html GitHub✍️ annotations🎥 recordingThe "annotations" link contains a PDF of the annotations I drew on today's lecture slides. The formatting issues from today's lecture are fixed.
- Thu Oct 31
LEC 18 Feature Engineering, Continued
- Fri Nov 1
DIS 9 Multiple Linear Regression and Feature Engineering
HW 8 Linear Regression
Week 11: Generalization
- Tue Nov 5
LEC 19 Pipelines, Generalization
📝 filled html GitHub✍️ annotations🎥 recording📕 Read: LDS 16We will still have class on Election Day, but as always, lecture is recorded, so don't hesitate to miss class if you need the time to vote.
- Thu Nov 7
LEC 20 Cross-Validation and Regularization
- Fri Nov 8
DIS 10 Generalization, Cross-Validation, Regularization
Week 12: Regularization, Gradient Descent
- Mon Nov 11
HW 9 Multiple Linear Regression, Feature Engineering
- Tue Nov 12
LEC 21 Regularization, Gradient Descent
- Thu Nov 14
LEC 22 Gradient Descent
- Fri Nov 15
DIS 11 Gradient Descent and Convexity
Week 13: Classification and Logistic Regression
- Tue Nov 19
LEC 23 Introduction to Classification
📝 filled html GitHub✍️ annotations🎥 recording📕 Read: LDS 19There are some slides involving logistic regression in this lecture, but we greatly improved them for Lecture 24, so look there for logistic regression!
- Thu Nov 21
LEC 24 Logistic Regression
- Fri Nov 22
DIS 12 Discussion 12
Week 14: Decision Trees; Thanksgiving
- Mon Nov 25
PR HW Portfolio Homework Checkpoint (no slip days!)
- Tue Nov 26
LEC 25 Decision Trees and Random Forests
- Thu Nov 28
No Lecture: Thanksgiving Break 🦃
- Fri Nov 29
No Discussion: Thanksgiving Break 🦃
Week 15: Conclusion
- Mon Dec 2
HW 10 Cross-Validation, Regularization, Gradient Descent, and Logistic Regression
GitHubTry and finish the homework before Thanksgiving, since we won't be able to provide much support over the break!
- Tue Dec 3
LEC 26 Clustering
- Thu Dec 5
LEC 27 Conclusion
HW 11 Homework 11
- Fri Dec 6
DIS 13 Discussion 13
- Sat Dec 7
PR HW Portfolio Homework (no slip days!)