This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.
1
Mon, Aug 25
Welcome
Part I 🎥 Part II 🎥
🎥 Assignment Workflow - Part I 🎥 Assignment Workflow - Part II 🎥 Assignment Workflow - Part III 🎥 Assignment Workflow - Part IV (Optional) 🎥 Reading Quizzes
Fri, Aug 29
Intro to Python
🎥
📚 Python Data Analysis - Chp 2 📚 Python Data Analysis - Chp 3
2
Mon, Sep 1
Labor Day (No Class)
Wed, Sep 3
Introduction to Data Mining Intro to Numpy
🎥 🎥
📚 Data Mining Concept - Chp 1 📚 Python Data Analysis - Chp 4
Fri, Sep 5
Intro to Pandas
🎥
📚 Python Data Analysis - Chp 4 📚 Python Data Analysis - Chp 5
✅ RQ 1
3
Mon, Sep 8
Sampling + conclusions Intro to Pandas
Part I 🎥 Part II 🎥
📚 Prac Stats for DS - Chp 2 📚 Python Data Analysis - Chp 5 📚 Python Data Analysis - Chp 6
Fri, Sep 12
Final Project
🎥
🎥 Quarto + VSCode
4
Mon, Sep 15
Exploratory Data Analysis
🎥
📚 Prac Stats for DS - Chp 1
Fri, Sep 19
Data Vizualization
🎥
📚 Python Data Analysis - Chp 9
📝 HW 1 ✅ RQ 2
5
Mon, Sep 22
Data Preprocessing
Part I 🎥 Part II 🎥 Part III 🎥
📚 Python Data Analysis - Chp 7 📚 Python Data Analysis - Chp 8
Fri, Sep 26
6
Mon, Sep 29
Classification I
🎥
📃 Data Preprocessing in Python
Fri, Oct 3
📝 HW 2
7
Mon, Oct 6
Classification I Cont.
🎥
📚 ISL - Chp 4
Fri, Oct 10
8
Mon, Oct 13
Model Evaluation
🎥
📚 ISL - Chp 8.1
Fri, Oct 17
Cross Validation
🎥
📚 ISL - Chp 5
9
Mon, Oct 20
Regression I
Part I 🎥 Part II 🎥 Part III 🎥
📚 ISL - Chp 3 📚 ISL - Chp 6, up to regularization
Wed, Oct 22
Final Project Peer Review
🎥
Fri, Oct 24
📑 Project proposals for peer review 📝 HW 3 ✅ RQ 3
10
Mon, Oct 27
Regression II
Part I 🎥 Part II 🎥
📚 ISL - Chp 6, second half
📑 Project proposals for instructor review
Fri, Oct 31
11
Mon, Nov 3
Regression III
🎥
📚 ISL - Chp 7 📚 ISL - Chp 8.2
Fri, Nov 7
12
Mon, Nov 10
Support Vector Machines
🎥
📚 ISL - Chp 9
Fri, Nov 14
📝 HW 4 ✅ RQ 4
13
Mon, Nov 17
Unsupervised Learning Methods I
Part I 🎥 Part II 🎥 Part III 🎥
📚 Prac Stats for DS - Chp 7 (pgs 294-302)
Fri, Nov 21
14
Mon, Nov 24
Happy Thanksgiving 🦃
Fri, Nov 28
Happy Thanksgiving 🦃
15
Mon, Dec 1
Unsupervised Learning Methods II
Part I 🎥 Part II 🎥
📚 Prac Stats for DS - Chp 7 (pgs 302- 325)
Fri, Dec 5
📝 HW 5 ✅ RQ 5
16
Mon, Dec 8
Association Rules
🎥 - IP
📚 Data Mining Concept - Chp 4 📃 Data Mining in Python
Fri, Dec 12
📝 ds-experience
Finals
Mon, Dec 15
Final Project Presentations
Wed, Dec 17
Final assignment + Final project @ 5pm