Course Schedule :

 

Week	Date	Session	Topic	Textbook	Assignment	Project
1	08/23	1	Course Introduction
	08/25	2	Lecture 1: Introduction to Data Science	CH 1
2	08/30	3	Lecture 2: Data Collection, Preparation and Exploration	CH 9
	09/01	4	Lecture 3: Tabular Data Processing	CH 5,7
3	09/06	5	Lecture 3: Tabular Data Processing (cont'd)		#1 Assigned on 09/09
	09/08	6	Lab 1: Unix
4	09/13	7	Lecture 4: Featurization and Statistical Tests	CH 3,10	#1 Due on 09/16
	09/15	8	Lab 2: Project Planning
5	09/20	9	Lecture 4: Featurization and Statistical Tests (cont'd)		#2 Assigned on 09/23
	09/22	10	Lab 3: Exploratory Data Analysis
6	09/27	11	Lecture 4: Featurization and Statistical Tests (cont'd)		#2 Due on 09/30	Proposal Due on 10/02
	09/29	12	Lab 4: Tabular Data Processing w/ Pandas
7	10/04	13	Lecture 4: Featurization and Statistical Tests (cont'd)
	10/06	14	Lecture 5: Natural Language Processing
8	10/11	15	Lecture 6: Supervised Learning (KNN, Naive Bayes)	CH 12,13	#3 Assigned on 10/14
	10/13	16	Lab 5: Stats and NLP Tools
9	10/18	17	Lecture 6: Supervised Learning (KNN, Naive Bayes)   (cont'd)		#3 Due on 10/24	Data Exploration Due on 10/21
	10/20	18	Lecture 7: Supervised Learning (Linear and Logistic Regression, Trees and Forests)	CH 14,16,17
10	10/25	19	Lecture 7: Supervised Learning (Linear and Logistic Regression, Trees and Forests)  (cont'd)
	10/27	20	Lab 6: Supervised Learning (Part I)
11	11/01	21	Lecture 7: Supervised Learning (Linear and Logistic Regression, Trees and Forests)  (cont'd)		#4 Assigned on 11/04
	11/03	22	Lab 7: Supervised Learning (Part II)
12	11/08	23	Lecture 7: Supervised Learning (Linear and Logistic Regression, Trees and Forests)  (cont'd)		#4 Due & #5 Assigned on 11/14	Preliminary Data Analysis Due on 11/11
	11/10	24	Lecture 8: Unsupervised Learning (K-Means, DBSCAN, and Matrix Factorization)	CH 19
13	11/15	25	Lecture 8: Unsupervised Learning (K-Means, DBSCAN, and Matrix Factorization)  (Part II - Recording) (Links to an external site.)
	11/17	26	Lab 8: Unsupervised Learning
14	11/22	27	No Class: Fall Break		#5 Due on 11/27
	11/24	28	No Class: Fall Break
15	11/29	29	Lecture 9: Scaling-up Analytics
	12/01	30	Midterm Exam
16	12/06	31	Project Presentations		#4 & #5 Due on 12/04
	12/08	32	Project Presentations			Report & Present