| WEEK | DATES | TOPIC | TASKS DUE | MATERIALS |
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| 1 | 8/26 |
– Course Introduction and Syllabus
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| 8/28 |
– The Information Architecture of an Organization – Understanding Database Schemas: Normalization, primary/foreign keys, joins |
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| 8/30 | – Understanding Database Schemas: Normalization, primary/foreign keys, joins | |||
| 2 | 9/02 |
Labor Day – No Class |
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| 9/04 | In-class exercise #01: Creating database schema | |||
| 9/06 | Getting data out of RDMS: SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE | |||
| 3 | 9/9 |
Getting data out of RDMS: SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE
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Assignment 1: Database schema |
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| 9/11 |
In-class exercise #02: Pen and Paper exercise
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| 9/13 |
Getting data out of RDMS: Joining tables In-class exercise #03: Working with SQL, part 1 |
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| 4 | 9/16 |
In-class exercise #03: Working with SQL, part 1
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| 9/18 |
In-class exercise #03: Working with SQL, part 1 In-class exercise #04: Working with SQL, part 2 |
Assignment 2: SQL #1 |
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| 9/20 | In-class exercise #04: Working with SQL, part 2 | |||
| 5 | 9/23 | Review for Exam 1 |
Assignment 3: SQL #2 |
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| 9/25 | Review for Exam 1 |
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| 9/27 | Exam 1 | |||
| 6 | 09/30 |
Introduction to Python In-class exercise #05: Getting familiar with Jupyter, Python Basic, Data types |
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| 10/02 |
Python Data Structures In-class exercise #06: Python Lists and Dictionaries |
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| 10/04 |
Python Data Structures In-class exercise #06: Python Lists and Dictionaries |
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| 7 | 10/07 |
Semi-structured data In-class exercise #07: Working with semi-structured data |
Assignment 4: Python Basics |
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| 10/09 |
Python and JSON In-class exercise #08: Working with JSON in Python |
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| 10/11 |
Fall Wellness Day – No Class |
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| 8 | 10/14 |
Python Pandas In-class exercise #09: Working with Python Pandas |
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| 10/16 |
Python Pandas In-class exercise #09: Working with Python Pandas |
Assignment 5: Python and JSON |
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| 10/18 |
Exam review and practice |
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| 9 | 10/21 |
Python Pandas In-class exercise #09: Working with Python Pandas In-class exercise #10: More practice with Pandas |
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| 10/23 |
Reconciling Data: The extract, transform, load process (ETL) Hypothesis Testing |
Assignment 6: Pandas |
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| 10/25 |
Principles of Data Visualization In-class exercise #11: Data Visualization |
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| 10 | 10/28 |
Review for Exam 2 |
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| 10/30 | Review for Exam 2 | |||
| 11/01 | Exam 2 | |||
| 11 | 11/04 |
Introduction to Advanced Analytics and Python PRO points project |
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| 11/06 |
Classification using Decision Trees |
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| 11/08 | In-class exercise #12: Decision Trees in Python |
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| 12 | 11/11 | Analysis Scenario: Identifying similar customers (clustering and segmentation) |
Assignment 7: Decision Trees |
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| 11/13 | In-class exercise #13: Clustering and Segmentation in Python |
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| 11/15 | In-class exercise #13: Clustering and Segmentation in Python | |||
| 13 | 11/18 |
Analysis Scenario: What products are purchased together? (Association Rules) |
Assignment 8: Clustering |
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| 11/20 |
In-class exercise #14: Computing Confidence, Support, and Lift |
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| 11/22 | In-class exercise #15: Association Rule Mining Using Python |
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| 14 | 11/25 |
Thanksgiving holiday – no class |
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| 11/27 | Thanksgiving holiday – no class | |||
| 11/29 | Thanksgiving holiday – no class | |||
| 15 | 12/02 | Review for Exam 3 |
Assignment 9: Association Rules |
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| 12/04 | Review for Exam 3 |
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| 12/06 | Final Exam |
PRO points project (optional): Due on 12/10
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