| 1 |
Jan 21 |
Intro overview
|
Setup: github/AI, R/VScode, PowerBI |
| 2 |
Jan 28 |
Asking the right question
|
Finding and acquiring data |
| 3 |
Feb 04 |
Processing Data Part 1
|
Processing Data: manipulating, aggregating |
| 4 |
Feb 11 |
Processing Data Part 2
|
Processing Data: merging |
| 5 |
Feb 18 |
Exploratory Data Analysis
|
Exploratory Data Analysis (Power BI) |
| 6 |
Feb 25 |
Forecasting (asynchronous)
|
Forecasting |
| 7 |
Mar 04 |
Explanatory Data Analysis Part 1
|
Explanatory Data Analysis: Intro to regression |
| 8 |
Mar 11 |
Explanatory Data Analysis Part 2
|
Explanatory Data Analysis: regression details |
| 9 |
Mar 18 |
Spring Break (no class)
|
|
| 10 |
Mar 25 |
Exam Review
|
Exam |
| 11 |
Apr 01 |
Storytelling with data
|
Project Proposal |
| 12 |
Apr 08 |
Choose Visual
|
Creating data visualizations |
| 13 |
Apr 15 |
Making Maps
|
Creating maps |
| 14 |
Apr 22 |
Eliminate Clutter
|
Refining visuals |
| 15 |
Apr 29 |
Presenting
|
Projects |
| 16 |
May 06 |
Presentation
|
Presentation |