Book Contents¶
The book contents are in active development. The table of contents is provisionary and it may change as I write the book.
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Table of contents¶
1. Introduction to data analysis with Python
What is data analysis
Data analysis with Python
The Python data analysis toolbox
NumPy
Pandas
SciPy
Statsmodels
PyMC3
Scikit-Learn
Matplolib
Seaborn
Altair
Bokeh
Prerequisites
Basic Python programming
Basic algebra ideas
2. Basic concepts in data analysis:
Tabular data
Nontabular data
Relational databases
Anatomy of a table
Time-series data
Types of variables
Descriptive statistics
Inferential statistics
Frequency table
Contingency table
Percentiles and quartiles
Data distribution
Measures of central tendency
Measures of dispersion
Summary tables
3. Data analysis workflow
Questions
Data loading
Forthcoming:
3. Data analysis workflow in practice: case study I