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 |
|
|
09/15 |
8 |
Lab 2: Project Planning |
|
5 |
09/20 |
9 |
Lecture 4: Featurization and Statistical Tests (cont'd)
|
|
|
|
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 |
|
|
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) |
|
|
|
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 |
|
|
#4 & #5 Due on 12/04 |
|
12/08 |
32 |
|
|
Report & Present |