Schedule

Week	Session	Day	Date	Topic
1	1	Th	08/29	Course Overview & Introduction to the Data Science Lifecycle more
2		M	09/02	Labor Day - no classes (Tuesday follows Monday schedule)
2	2	Tu	09/03	Python Basics more Assignment 1 due 09/17
2	3	Th	09/05	Python Basics
3	4	M	09/09	Python conditionals, loops, functions, aggregating.
3	5	Th	09/12	Python conditionals, loops, functions, aggregating (continued) Assignment 2 due 09/26
4	6	M	09/16	Python visualization, data manipulation , and feature creation.
4	7	Th	09/19	Python visualization, data manipulation , and feature creation (continued) Assignment 3 due 10/03
5	8	M	09/23	Visualization with Tableau
5	9	Th	09/26	Visualization with Tableau Assignment 4 due 10/10
6	10	M	09/30	Introduction to R
6	11	Th	10/03	Introduction to R Assignment 5 due 10/17
7	12	M	10/07	Overview of Modeling
7	13	Th	10/10	Overview of Modeling Assignment 6 due 10/24
8	14	M	10/14	Review/Kaggle Project Introduction
8	15	Th	10/17	Midterm Assignment 7 due 10/31
9	16	M	10/21	Classification
9	17	Th	10/24	Classification
10	18	M	10/28	Regression
10	19	Th	10/31	Regression
11	20	M	11/04	Text and NLP
11	21	Th	11/07	Text and NLP
12	22	M	11/11	Introduction to Big Data Assignment 8 due 11/25
12	23	Th	11/14	Time Series Analysis
13	24	M	11/18	Image Data and Deep Learning
13	25	Th	11/21	Image Data and Deep Learning
14	26	M	11/25	Automl and Modeling Packages
14		Th	11/28	Thanksgiving
15	27	M	12/02	Automl and Model Search
15	28	Th	12/05	Final Presentations
16	29	M	12/09	Final Presentations
17		TBD	TBD	Final Exam