Statistical Analysis with Python For Dummies
Date: December 30th, 2025
ISBN: 1394370326
Language: English
Number of pages: 419 pages
Format: EPUB True PDF
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Wrangle stats as you learn how to graph, analyze, and interpret data with Python
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.
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.
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