Book contents
- A Hands-On Introduction to Data Science
- A Hands-On Introduction to Data Science
- Copyright page
- Contents
- Preface
- About the Author
- Part I Conceptual Introductions
- Part II Tools for Data Science
- 4 Python
- 5 Python for Statistical Analysis
- 6 Cloud Computing
- Part III Machine Learning for Data Science
- Part IV Applications, Evaluations, and Methods
- Book part
- Index
- References
5 - Python for Statistical Analysis
from Part II - Tools for Data Science
Published online by Cambridge University Press: 07 February 2026
Book contents
- A Hands-On Introduction to Data Science
- A Hands-On Introduction to Data Science
- Copyright page
- Contents
- Preface
- About the Author
- Part I Conceptual Introductions
- Part II Tools for Data Science
- 4 Python
- 5 Python for Statistical Analysis
- 6 Cloud Computing
- Part III Machine Learning for Data Science
- Part IV Applications, Evaluations, and Methods
- Book part
- Index
- References
Summary
This chapter focuses on using Python for statistical analysis in data science. It begins with statistics essentials, teaching how to calculate descriptive statistics like mean, median, variance, and standard deviation using NumPy. The chapter covers data visualization techniques using Matplotlib to create histograms, bar charts, and scatterplots for exploring data patterns. Key topics include importing data using Pandas DataFrames, performing correlation analysis to measure relationships between variables, and conducting statistical inference through hypothesis testing. Students learn to implement t-tests for comparing means between two groups and ANOVA for comparing multiple groups. The chapter emphasizes practical applications through hands-on examples, from analyzing family age data to comparing exam scores across different classes. These statistical techniques form the foundation for more advanced data science work, enabling students to extract meaningful insights from datasets and make data-driven decisions.
Keywords
Information
- Type
- Chapter
- Information
- A Hands-On Introduction to Data Science with Python , pp. 132 - 150Publisher: Cambridge University PressPrint publication year: 2026
References
Further Reading and Resources
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