Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you're new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You'll learn to set up a coding environment and use Python's libraries and functions to mine data for correlations and test hypotheses. You'll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data.

Get clear explanations of the basics of statistics and data analysis
Learn how to summarize and analyze data with Python, step by step
Improve business decisions with objective evidence and analysis
Explore hypothesis testing, regression analysis, and prediction techniques

This is the perfect introduction to Python for students, professionals, and the stat-curious.

About the Author

Joseph Schmuller is a cognitive scientist and statistical analyst who creates online learning tools as well as books. He is the author of all five editions of Statistical Analysis with Excel For Dummies, both editions of Statistical Analysis with R For Dummies, and R All-in-One For Dummies, among others.

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