Appendices
References
Introduction to Data Science with Python
Preface
Quick overview: Python programming
1
Introduction to Python and Jupyter Notebooks
2
Data structures
Exploratory data analysis
3
Reading data
4
NumPy
5
Pandas
6
Data visualization
7
Data cleaning and preparation
8
Data wrangling
9
Data aggregation
10
Alternative solutions by students
Appendices
A
Assignment A
B
Assignment B
C
Assignment C
D
Assignment D
E
Assignment E
F
Assignment F
G
Assignment G
H
Datasets & Templates
References
References
Rubin, Donald B. 1976.
“Inference and Missing Data.”
Biometrika
63 (3): 581–92.
H
Datasets & Templates