Skip to main content
Back to top
Ctrl
+
K
The Chicago Guide to Data Science
1. What is Data Science?
2. Programming in Python
2.1. Working with Numeric Data
2.2. Booleans
2.3. Assignment Statements
2.4. Strings
2.5. Functions
Built-In Functions and Methods
User-Defined Functions
3. Collections of Data
3.1. Lists
3.2. Tuples
3.3. Dictionaries
3.4. Sets
3.5. Arrays
4. Randomness and Control Statements
4.1. Random Choice
4.2. Conditional Statements
4.3. Iteration and Simulation
4.4. While Loops
5. DataFrames
5.1. Creating a DataFrame
5.2. Accessing Columns
5.3. Column Operations
5.4. Accessing Rows
5.5. Selection by Label
5.6. Selection by Condition
6. DataFrame Methods and Operations
6.1. Applying Functions
6.2. Merging Data
6.3. Grouping Data
6.4. Pivot Tables
7. Data Visualization
7.1. Introduction to Matplotlib
7.2. Numerical Data
7.3. Categorical Data
7.4. Other Visualization Techniques
8. Data Collection
8.1. Causality versus Association
8.2. Observation versus Experimental Studies
8.3. Sampling
8.4. Biases
9. Probability
9.1. Definitions and Rules
9.2. A Simulation-Based Solution
9.3. Mathematical Derivation vs Computational Estimation
9.4. The Birthday Problem: Relaxed Assumptions
10. Empirical and Probability Distributions
10.2. Distributions Overview
10.3. Uniform Distribution
10.4. Normal Distribution
10.5. Binomial Distribution
11. Hypothesis Testing
11.1. Evaluating Consistency Between Data and a Model
11.2. Hypothesis Testing
11.3. Two-Sample Testing
11.4. Categorical Data
11.5. Connections with Classical Statistical Methods
12. Estimation and Confidence Intervals
12.1. Theoretical Justification for Confidence Intervals
12.2. The Bootstrap
12.3. Percentile Bootstrap Confidence Intervals
13. Ethics and Pitfalls in Data Science
13.1. Data Ethics and the Law
13.2. Pillar 1: Data Transparency & Accountability
13.3. Pillar 2: Data Privacy
13.4. Pillar 3: Informed Consent
13.5. Pillar 4: Mitigating Unintended Consequences
14. Traffic Stops Case Study
14.1. Study Background
14.2. Investigating Traffic Stops
Glossary of Terms
Glossary of Code
Index
