Practical Statistics for Data Scientists

Peter Bruce developed and grew Statistics.com's Institute for Statistics Education, which today provides around 100 statistics courses, roughly a third of which are directed at data scientists. Peter has created a comprehensive vision of the target market as well as his own expertise in reaching it by engaging prominent authors as lecturers and building a marketing strategy to reach professional data scientists.

Andrew Bruce has worked in statistics and data science for over 30 years in university, government, and business. He holds a Ph.D. in statistics from the University of Washington and has multiple publications published in peer-reviewed journals.

Although statistical tools are an important aspect of data science, very few data scientists have formal statistics training. Basic statistics courses and publications rarely approach the subject from a data science standpoint. Practical Statistics for Data Scientists teaches how to apply various statistical methods to data science, how to avoid misusing them, and what's important and what's not.

Many data science resources include statistical approaches but do not provide a comprehensive statistical perspective. If you're familiar with the R programming language and have some experience with statistics, this brief reference bridges the gap in an easy-to-understand way.

Practical Statistics for Data Scientists will teach you:

• Why is exploratory data analysis such an important first step in data science?
• How random sampling can eliminate bias and produce a higher quality dataset even with large amounts of data
• How experimental design concepts offer definitive answers to questions
• How to Estimate Outcomes and Detect Inconsistencies Using Regression
• The most important categorization strategies for determining which category a document belongs to
• Methods of statistical machine learning that "learn" from data
• Methods for extracting meaning from unlabeled data using unsupervised learning.

Author: Peter Bruce and Andrew Bruce

Link to buy: https://www.amazon.com/Practical-Statistics-Data-Scientists-Essential/dp/1491952962

Ratings: 4.5 out of 5 stars (from 396 reviews)

Best Sellers Rank: #328,477 in Books

#94 in Data Warehousing (Books)

#122 in Mathematical & Statistical Software

#165 in Software Testing