Table of Contents
Preface
Section 1: Getting Started with Pandas
Chapter 1: Introduction to Data Analysis
Chapter materials
The fundamentals of data analysis
Data collection
Data wrangling
Exploratory data analysis
Drawing conclusions
Statistical foundations
Sampling
Descriptive statistics
Prediction and forecasting
Inferential statistics
Setting up a virtual environment
Virtual environments
Installing the required Python packages
Why pandas?
Jupyter Notebooks
Summary
Exercises
Further reading
Chapter 2: Working with Pandas DataFrames
Chapter materials
Pandas data structures
Series
Index
DataFrame
Creating a pandas DataFrame
From a Python object
From a file
From a database
From an API
Inspecting a DataFrame object
Examining the data
Describing ...
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