How Long to Read Practical Data Science with R

How Long Does it Take to Read Practical Data Science with R?

It takes the average reader 7 hours and 5 minutes to read Practical Data Science with R by Nina Zumel

Assuming a reading speed of 250 words per minute. Learn more

Description

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics. Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels. This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed. What's Inside Data science for the business professional Statistical analysis using the R language Project lifecycle, from planning to delivery Numerous instantly familiar use cases Keys to effective data presentations About the Authors Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com. Table of Contents PART 1 INTRODUCTION TO DATA SCIENCE The data science process Loading data into R Exploring data Managing data PART 2 MODELING METHODS Choosing and evaluating models Memorization methods Linear and logistic regression Unsupervised methods Exploring advanced methods PART 3 DELIVERING RESULTS Documentation and deployment Producing effective presentations

How long is Practical Data Science with R?

Practical Data Science with R by Nina Zumel is 416 pages long, and a total of 106,496 words.

This makes it 140% the length of the average book. It also has 130% more words than the average book.

How Long Does it Take to Read Practical Data Science with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 41 minutes to read Practical Data Science with R aloud.

What Reading Level is Practical Data Science with R?

Practical Data Science with R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Practical Data Science with R?

Practical Data Science with R by Nina Zumel is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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