| Week | Date | Topic | Prepare | Due | |
|---|---|---|---|---|---|
| 1 | Wed, Jan 14 | Welcome DS Lifecycle Course Overview |
š„ š„ š„ |
š„ Instructor Introduction š„ Course website š„ Course Slack Channel š DS From Scratch - Chp 1 |
|
| Fri, Jan 16 | Your Toolkit | Pt I š„ Pt II š„ |
š„ GH Classroom AEs + Codespaces š„ ae-01 |
āØļø ae 01 | |
| 2 | Mon, Jan 19 | Martin Luther King Jr Holiday (No Class) | |||
| Wed, Jan 21 | Python Git/GitHub |
š„ š„ |
š DS From Scratch - Chp 2 š„ Git + VSCode š„ GH Classroom Homeworks + Codespaces š» DS experience; š„ |
||
| Fri, Jan 23 | NumPy Pandas |
š„ š„ |
š Python Data Analysis - Chp 4 š Python Data Analysis - Chp 5 |
||
| 3 | Mon, Jan 26 | EDA | š„ | š Prac Stats for DS - Chp 1 š Math for DS - Chp 3 |
āØļø ae 02 ā ae 02 |
| Fri, Jan 30 | Data Viz | š„ | š Python Data Analysis - Chp 9 | āØļø ae 03 ā ae 03 |
|
| 4 | Mon, Feb 2 | Data Preprocessing | Pt I š„ Pt II š„ Pt III š„ |
š Python Data Analysis - Chp 7 š Data Preprocessing in Python |
āØļø ae 04 ā ae 04 |
| Fri, Feb 6 | Data Wrangling | š„ | š Python Data Analysis - Chp 8 | āØļø ae 05 ā ae 05 š» HW 1 āØļø ae-01 to ae-04 completion check |
|
| 5 | Mon, Feb 9 | Web Scraping | Pt I š„ Pt II š„ |
š DS From Scratch - Chp 9 š Web Scraping in Python |
āØļø ae 06 ā ae 06 |
| Fri, Feb 13 | Midterm Review | Pt I š„ Pt II š„ |
|||
| 6 | Mon, Feb 16 | Midterm Released | |||
| Fri, Feb 20 | DS Ethics | š„ | š DS From Scratch - Chp 26 š„ Misrepresentation š„ Data privacy š„ Algorithmic bias š„ Alberto Cairo - How charts lie š„ Joy Buolamwini - How Iām fighting bias in algorithms |
||
| 7 | Mon, Feb 23 | Probability | š„ š„ |
š DS From Scratch - Chp 6 (up to conditional probability) š final project description |
āØļø ae 07 ā ae 07 |
| Fri, Feb 27 | Conditional Prob | š„ | š DS From Scratch - Chp 6 (Conditional probability) |
āØļø ae 08 ā ae 08 š» HW 2 āØļø ae-05 to ae-08 completion check |
|
| 8 | Mon, Mar 2 | Hypothesis Testing | š„ | š DS From Scratch - Chp 5 | |
| Fri, Mar 6 | Sampling Dists Inference |
š„ | š Review DS From Scratch - Chp 6 (CLT) š IMS - Chp 13 |
š Midterm assignment + assessment āØļø ae 09 ā ae 09 š» DS experience I @ 5pm |
|
| 9 | Mon, Mar 9 | Spring Break āļø | |||
| Fri, Mar 13 | Spring Break āļø | ||||
| 10 | Mon, Mar 16 | Linear Regression | š„ | š DS From Scratch - Chp 14 (up to Gradient Descent) | āØļø ae 10 ā ae 10 |
| Fri, Mar 20 | Multiple Linear Regn | š„ | š DS From Scratch - Chp 15 (up to Regularization) | āØļø ae 11 ā ae 11 |
|
| 11 | Mon, Mar 23 | Logistic Regression | š„ | š DS From Scratch - Chp 16 (up to SVMs) | |
| Fri, Mar 27 | Prediction + Uncertainty | š„ | š DS From Scratch - Chp 11 š Python Data Analysis - Chp 12.1 - 12.2 |
||
| 12 | Mon, Mar 30 | Model validation | š„ | š Python for DS - Chp 5.3 | āØļø ae 12 ā ae 12 āØļø ae-09 to ae-12 completion check |
| Fri, Apr 3 | Calculus I | š„ | š Math for DS - Chp 1 (up to Integrals) |
āØļø ae 13 ā ae 13 š» HW 3 |
|
| 13 | Mon, Apr 6 | Calculus II | š„ | š Math for DS - Chp 1 (Integrals) |
āØļø ae 14 ā ae 14 |
| Linear Algebra I | š„ | š Math for DS - Chp 4 (up to Eigenvalues) |
|||
| Fri, Apr 10 | Linear Algebra II | š„ | š Math for DS - Chp 4 (from Eigenvalues) š Linear Algebra |
āØļø ae 15 ā ae 15 |
|
| 14 | Mon, Apr 13 | Comparing ML Models | š DS From Scratch - Chp 17 š„ Comparing Classifiers š„ Hyperparameter Tuning |
āØļø ae 16 ā ae 16 āØļø ae-13 to ae-16 completion check |
|
| Fri, Apr 17 | š» HW 4 | ||||
| 15 | Mon, Apr 20 | Communicating DS Results | š„ | š fdv - Chp 29 | |
| Fri, Apr 24 | Final Review Final Assignment Released |
š„ | |||
| 16 | Mon, Apr 27 | Work on Final Assignment | |||
| Fri, May 1 | š» DS experience II @ 5pm | ||||
| 17 | Mon, May 4 | Work on Final Assignment | |||
| Wed, May 6 | š» HW 5 | ||||
| Finals | Wed, May 13 | š Final assessment + assignment due @ 5pm |
INFO 511: Fundamentals of Data Science
Dr. Greg Chism
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.