Introduction to Data Science and Computer Science
Welcome
Chapter 1 Introduction
Computer Science Basics
Variables and Types
Some Libraries
Flow of Control
Iteration, The True Power Of Programming
Chapter 2 - More Python!
Lists Strings Tuples
Numpy Basics
Dictionaries, Visualization and Basic Descriptive Statistics
Functions
String Processing, Files and Exceptions
Pandas Basics
Randomness
Conditional Statements
Iteration
Simulation
The Monty Hall Problem
Finding Probabilities
Sampling and Empirical Distributions
Empirical Distributions
Sampling from a Population
Empirical Distribution of a Statistic
Testing Hypotheses
Assessing Models
Multiple Categories
Decisions and Uncertainty
Error Probabilities
Comparing Two Samples
A/B Testing
Deflategate
Causality
Estimation
Percentiles
The Bootstrap
Confidence Intervals
Using Confidence Intervals
Why the Mean Matters
Properties of the Mean
Variability
The SD and the Normal Curve
The Central Limit Theorem
The Variability of the Sample Mean
Choosing a Sample Size
Index