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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Name: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Price: 41.79 USD
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Book Synopsis: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you’ll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

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Unlock the potential of your data with the Practical Statistics for Data Scientists book! Delve into over 50 essential statistical concepts using R and Python, tailored specifically for the data science field. Whether you're a seasoned data analyst or just starting out, this second edition guide offers practical examples, expert advice, and comprehensive Python applications to supercharge your data analysis skills.

Don't let a lack of formal statistical training hold you back in the data science realm. This guide is designed to equip you with the tools and knowledge needed to confidently apply statistical methods in your data science projects. Say goodbye to guesswork and hello to informed decisions with this indispensable resource at your fingertips!

If you're ready to take your data science game to the next level, this R and Python book is the missing puzzle piece in your toolkit. Enhance your exploratory data analysis techniques, leverage the power of regression for accurate predictions, and master classification methods to elevate your data science projects to new heights. Empower yourself with the statistical foundation needed to excel in the competitive world of data science!

Don't miss out on this opportunity to revolutionize your data science approach. Take the first step towards statistical mastery and unparalleled data insights by getting your hands on Practical Statistics for Data Scientists today!

Get your copy now!

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