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O'Reilly Think Stats: Exploratory Data Analysis - Python Book

Amazon

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Description

Turn your programming skills into data knowledge with Think Stats: Exploratory Data Analysis by O'Reilly. This thoroughly revised edition moves away from purely mathematical approaches to present statistical concepts computationally using Python programs. Through practical examples and exercises based on real-world datasets, you will learn the full process of exploratory data analysis. This includes wrangling data, generating statistics, identifying patterns, and testing hypotheses. This book is designed for data scientists, software engineers, and data enthusiasts who want to master commonly used tools such as NumPy, SciPy, and Pandas. Gain the technical foundation needed to transform raw data into actionable insights through code.

Key Features

Learn statistical concepts computationally using Python programs instead of traditional mathematical methods.

Master the entire exploratory data analysis process from data wrangling to hypothesis testing.

Work with real-world datasets through practical examples and hands-on exercises.

Gain proficiency in essential data science tools including NumPy, SciPy, and Pandas.

Develop skills in generating statistics and identifying patterns within complex datasets.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 April 2025
Listed Since
20 November 2024

Barcode

No barcode data available

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