| 1 |
8/31 |
The Rise of Analytics and the Tools of the Data Scientist - Lab |
Start of Classes |
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9/7 |
No Classes - Labor Day - Lab |
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| 2 |
9/14 |
Data Types and Structures - Lab |
Add Deadline; Lab 1 due before class |
| 3 |
9/21 |
Accessing and Processing Data - Lab |
Lab 2 Due (Blackboard) |
| 4 |
9/28 |
Linking and Aggregating Data - Lab |
Lab 3 Due (Blackboard) |
| 5 |
10/5 |
Missing Data and Introduction to Feature Creation - Lab |
Lab 4 Due (Blackboard) |
| 6 |
10/13 |
Introduction to Modeling - Lab |
Columbus Day/Class Tuesday Rather than Monday |
| 7 |
10/19 |
Introduction to Modeling II - Lab |
Kaggle 1 Assignment Due 10/23; 10/23 is Drop Deadline |
| 8 |
10/26 |
Midterm & Kaggle Project Presentations - Lab |
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| 9 |
11/2 |
Introduction to Visualization - Lab |
Guest Speaker Dave Geoghegan from Channel Eyes |
| 10 |
11/9 |
Introduction to Text Mining - Lab |
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| 11 |
11/16 |
Model Evaluation & Visualization Continued - Lab |
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| 12 |
11/23 |
Intro to Big Data and Case Study - Lab |
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| 13 |
11/30 |
Intro to Spark and Case Study - Lab |
Kaggle 2 Assignment Due 12/1 11:59 PM |
| 14 |
12/7 |
Final Exam - Lab |
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