Schedule

Session Day Date Topic
1 Thu 01/18 Overview Analytics
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2 Mon 01/22 Introduction to Technologies Used In Class
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Assignment 1 Released (Due 1-29 11:59 PM)
3 Thu 01/25 Data Fundamentals and Introduction to Python
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4 Mon 01/29 Data Fundamentals and Introduction to Python
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Assignment 2 Released (Due 2-5 11:59 PM)
5 Thu 02/01 Data Fundamentals and Introduction to Python II
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6 Mon 02/05 Data Fundamentals and Introduction to Python II
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Assignment 3 Released (Due 2-12 11:59 PM)
7 Thu 02/08 Introduction to APIs, Unstructured data, and Visualizations
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8 Mon 02/12 Introduction to APIs, Unstructured data, and Visualizations
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Assignment 4 Released (Due 2-20 11:59 PM)
9 Thu 02/15 Introduction to R
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Mon 02/19 President’s Day (No Classes)
10 Tues 02/20 Introduction to R (Monday Schedule)
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Assignment 5 Released (Due 3-1 11:59 PM)
11 Thu 02/22 Project Work Day/Guest Speakers
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12 Mon 02/26 Intro to Visualization
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Assignment 6 Released (Due 3-5 11:59 PM)
13 Thu 03/01 Intro to Visualization
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14 Mon 03/05 Project Work Day
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15 Thu 03/08 Midterm
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Mon 03/12 Spring Break
Thu 03/15 Spring Break
16 Mon 03/19 Introduction to Modeling
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Assignment 7 Released (Due 3-28 11:59 PM)
17 Thu 03/22 Introduction to Modeling
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18 Mon 03/26 Introduction to Modeling
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19 Thu 03/29 Introduction to Modeling/Project
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20 Mon 04/02 Text Mining and Unstructured Data
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21 Thu 04/05 Text Mining and Unstructured Data
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Project Draft (Sections 1-3) Due 4-6 11:59 PM
22 Mon 04/09 Text Mining and Unstructured Data
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23 Thu 04/12 Introduction to Big Data
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24 Mon 04/16 Introduction to Big Data
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25 Thu 04/19 Intro to Deep Learning
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26 Mon 04/23 Intro to Deep Learning
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Project Work
27 Thu 04/26 Final Presentations
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28 Mon 04/30 Final Presentations
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Fri 05/04 Project Due

Project Due
Wed 509 Final Exam
11:30-2:30