Week | Date | Topic | Prepare | Due | |
---|---|---|---|---|---|
1 | Mon, Aug 25 | Welcome DS Lifecycle Course Overview |
š„ š„ š„ |
š„ Instructor Introduction š„ Course website š„ Course Slack Channel š DS From Scratch - Chp 1 |
|
Wed, Aug 27 | Your Toolkit | Pt I š„ Pt II š„ |
š„ GH Classroom AEs + Codespaces š„ ae-01 |
āØļø ae 01 | |
2 | Mon, Sep 1 | Labor Day (No Class) | |||
Wed, Sep 3 | Python Git/GitHub |
š„ š„ |
š DS From Scratch - Chp 2 š„ Git + VSCode š„ GH Classroom Homeworks + Codespaces š» DS experience; š„ |
||
Fri, Sep 5 | NumPy Pandas |
š„ š„ |
š Python Data Analysis - Chp 4 š Python Data Analysis - Chp 5 |
||
3 | Mon, Sep 8 | EDA | š„ | š Prac Stats for DS - Chp 1 š Math for DS - Chp 3 |
āØļø ae 02 ā ae 02 |
Fri, Sep 12 | Data Viz | š„ | š Python Data Analysis - Chp 9 | āØļø ae 03 ā ae 03 |
|
4 | Mon, Sep 15 | 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, Sep 19 | Data Wrangling | š„ | š Python Data Analysis - Chp 8 | āØļø ae 05 ā ae 05 š» HW 1 |
|
5 | Mon, Sep 22 | 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, Sep 26 | Midterm Review | Pt I š„ Pt II š„ |
|||
6 | Mon, Sep 29 | Midterm Released | |||
Fri, Oct 3 | 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, Oct 6 | Probability Final Project Released |
š„ š„ |
š DS From Scratch - Chp 6 (up to conditional probability) š final project description |
āØļø ae 07 ā ae 07 |
Fri, Oct 10 | Conditional Prob | š„ | š DS From Scratch - Chp 6 (Conditional probability) |
āØļø ae 08 ā ae 08 š» HW 2 |
|
8 | Mon, Oct 13 | Hypothesis Testing | š„ | š DS From Scratch - Chp 5 | |
Fri, Oct 17 | Sampling Dists Inference |
š„ | š Review DS From Scratch - Chp 6 (CLT) š IMS - Chp 13 |
š Midterm assignment āØļø ae 09 ā ae 09 |
|
9 | Mon, Oct 20 | Linear Regression | š„ | š DS From Scratch - Chp 14 (up to Gradient Descent) | āØļø ae 10 ā ae 10 |
Fri, Oct 24 | Multiple Linear Regn | š„ | š DS From Scratch - Chp 15 (up to Regularization) | āØļø ae 11 ā ae 11 |
|
10 | Mon, Oct 27 | Logistic Regression | š„ | š DS From Scratch - Chp 16 (up to SVMs) | |
Fri, Oct 31 | Prediction + Uncertainty | š„ | š DS From Scratch - Chp 11 š Python Data Analysis - Chp 12.1 - 12.2 |
||
11 | Mon, Nov 3 | Model validation | š„ | š Python for DS - Chp 5.3 | āØļø ae 12 ā ae 12 |
Fri, Nov 7 | Calculus I | š„ | š Math for DS - Chp 1 (up to Integrals) |
āØļø ae 13 ā ae 13 š» HW 3 |
|
12 | Mon, Nov 10 | Calculus II | š„ | š Math for DS - Chp 1 (Integrals) |
āØļø ae 14 ā ae 14 |
Fri, Nov 14 | Linear Algebra I | š„ | š Math for DS - Chp 4 (up to Eigenvalues) |
āØļø ae 15 ā ae 15 |
|
13 | Mon, Nov 17 | Linear Algebra II | š„ | š Math for DS - Chp 4 (from Eigenvalues) š Linear Algebra |
āØļø ae 16 ā ae 16 |
Comparing ML Models | š DS From Scratch - Chp 17 š„ Comparing Classifiers š„ Hyperparameter Tuning |
āØļø ae 17 ā ae 17 |
|||
Fri, Nov 21 | š Final assignment | š» HW 4 | |||
14 | Mon, Nov 24 | Happy Thanksgiving š¦ | |||
Fri, Nov 28 | Happy Thanksgiving š¦ | ||||
15 | Mon, Dec 1 | Communicating DS Results | š„ | š fdv - Chp 29 | |
Fri, Dec 5 | Final Review Final Assignment Released |
š„ | š» DS experience @ 11:59pm AEs final deadline |
||
16 | Mon, Dec 8 | Work on Final Project + Assignment |
|||
Fri, Dec 12 | |||||
Finals | Mon, Dec 15 | Work on Final Project + Assignment |
š» HW 5 | ||
Wed, Dec 17 | Final project due @ 5pm Final 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.