HANDS-ON STATISTICS FOR DATA ANALYSIS IN PYTHON

Unlock the power of statistics with practical applications using Python!
Hands-On Statistics for Data Analysis in Python is a comprehensive guide designed for students, professionals, and aspiring data scientists who want to master the essential statistical techniques that drive real-world data analysis.

This book offers a balanced mix of theory and hands-on coding, taking readers step-by-step through:

• Descriptive and inferential statistics
• Probability distributions and hypothesis testing
• Regression analysis and ANOVA
• Data visualization with libraries like Matplotlib and Seaborn
• Real-world datasets and case studies using Pandas and NumPy
• Best practices for exploratory data analysis (EDA)

Whether you're analyzing business data, conducting academic research, or preparing for a data science career, this book equips you with the statistical foundation and Python tools needed to derive meaningful insights from data.

No prior experience in statistics is required—just a basic understanding of Python. Each chapter includes clear explanations, sample code, and practical exercises to reinforce learning.