Tentative Course Schedule
Week | Date | Topic | Reading |
1 | 1/6 | Logistics & Intro to DS PPT | Doing DS Ch. 1 LINK |
| 1/8 | What is DS (Cont.) PPT | BD in Practice ( Uber, Netflix, Facebook, Amazon) |
| 1/10 | Different types of data Notebook | DS for Business Ch. 1 LINK |
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2 | 1/13 | Exploratory DS | Doing DS Ch. 2 LINK |
| 1/15 | Exploratory DS cont. | |
| 1/17 | Examples | |
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3 | 1/20 | Holiday - No Class | |
| 1/22 | Intro to data storage, SQL, etc. | |
| 1/24 | Data storage cont. | |
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4 | 1/27 | Data acquisition | |
| 1/29 | Data acquisition cont. | |
| 1/31 | Data Acquisition examples (crawling, APIs) | |
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5 | 2/3 | Midterm 1 | |
| 2/5 | Intro to Data Cleaning | |
| 2/7 | Intro to Data Integrations | |
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6 | 2/10 | Data cleaning / integration examples | |
| 2/12 | Intro to Data Visualization | |
| 2/14 | Intro to Data Visualization cont. | |
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7 | 2/17 | Holiday - No Class | |
| 2/19 | Advanced Data Visualizations | |
| 2/21 | Advanced Data Visualizations cont. | |
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8 | 2/24 | Intro to Data analysis | |
| 2/26 | Unsupervised techniques | |
| 2/28 | Supervised techniques | |
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9 | 3/2 | Feature selection | |
| 3/4 | Parameter Tuning | |
| 3/6 | Midterm 2 | |
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10 | 3/9 | Boosting Methods | |
| 3/11 | Debugging ML | |
| 3/13 | Prof. attending conference | |
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