Please note that the following schedule is tentative and subject to change.
| Week | Date | Topic | Due |
|---|---|---|---|
| 1 | W 1/20 (Slides) | Sprint 1: What is Data Science | |
| F 1/22 (Slides) | Sprint 1: Anaconda, Python, & Jupyter | Prepare 1 (direction) | |
| 2 | M 1/25 | Practice 1 (practice1) | |
| W 1/27 | Sprint 2: Numerical Python (Numpy) and Python Data Analysis Library (Pandas) | Prepare 2 (direction) | |
| F 1/29 | Practice 2 (practice2) | ||
| 3 | M 2/1 | Perform 2 (perform2) | |
| W 2/3 | Sprint 3: Wrangling Data - Importing, Missing, Numerical, Text | Prepare 3 (direction) | |
| F 2/5 | Practice 3 (practice3) | ||
| 4 | M 2/8 | Perform 3 (perform3) | |
| W 2/10 | Sprint 4: Combining Data - Aggregating, Grouping, Merging, Joining | Prepare 4 (direction) | |
| F 2/12 | Practice 4 (practice4) | ||
| 5 | M 2/15 | Perform 4 (perform4) | |
| W 2/17 | Sprint 5: Databases and SQL | Prepare 5 (direction) | |
| F 2/19 | Practice 5 (practice5) | ||
| 6 | M 2/22 | Perform 5 (perform5) | |
| W 2/24 | Sprint 6: Visualization - Design, Seaborn, and Matplotlib | Prepare 6 (direction) | |
| F 2/26 | Practice 6 (practice6) | ||
| 7 | M 3/1 | ||
| W 3/3 | Project Proposal Work Shop Project Group (group) | Perform 6 (perform6) | |
| F 3/5 | Project Consulting | ||
| 8 | M 3/8 | Project Proposal | |
| W 3/10 | No class held No office hours 3/9-3/12 | ||
| F 3/12 | No class held | ||
| 9 | M 3/15 | ||
| W 3/17 | Sprint 7: Probability - Foundations, p-values, Monte Carlo, Bayes | Prepare 7 (direction) | |
| F 3/19 | Practice 7 (practice7) | ||
| 10 | M 3/22 | Perform 7 (perform7) | |
| W 3/24 | Sprint 8: Statistical Inference: Confidence Intervals, Bootstrapping, Hypothesis Testing | Prepare 8 (direction) | |
| F 3/26 | Practice 8 (practice8) | ||
| 11 | M 3/29 | Perform 8 (perform8) | |
| W 3/31 | Sprint 9: Prediction and Supervised Machine Learning | Prepare 9 (direction) | |
| F 4/2 | |||
| 12 | M 4/5 | Practice 9 (practice9) | |
| W 4/7 | Project Prototype Consulting | Perform 9 (perform9) | |
| F 4/9 | Project Prototype Consulting | ||
| 13 | M 4/12 | Project Prototype (directions) [Edit: Due date moved to 11:59 pm Tuesday 4/13 due to Wellness day] |
|
| W 4/14 | Sprint 10: Deep Learning - Neural Network, Gradient Descent, CNN, Pytorch | Prepare 10 (directions) | |
| F 4/16 | |||
| 14 | M 4/19 | Practice 10 (practice10) | |
| W 4/21 | Project Consulting | ||
| F 4/23 | Wrapping up | ||
| 15 | M 4/26 | Reading Day | |
| W 4/28 | Final Exam Day No exam, just project deliverables | Final Project Report (directions) Project Presentation (directions) |
