Practical Statistics for Data Scientists

Peter Bruce is the Founder and Chief Academic Officer of Statistics.com's Institute for Statistics Education, which offers over 80 statistics and analytics courses, roughly half of which are geared toward data scientists. Andrew Bruce, Amazon's Principal Research Scientist, has over 30 years of statistics and data science experience in university, government, and business. Peter Gedeck, Senior Data Scientist at Collaborative Drug Discovery, is an expert in developing machine learning algorithms to predict biological and physicochemical features of drug candidates.


Statistical procedures are an important aspect of data science, yet only a small percentage of data scientists have formal statistical training. Basic statistics courses and publications rarely approach the subject from a data science standpoint. This popular guide's second edition includes detailed Python examples, practical help on applying statistical approaches to data science, how to avoid their misuse, and advice on 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 or Python programming languages and have some experience with statistics, this brief reference bridges the gap in an easy-to-understand fashion.


Among the best books on data mining, 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, Andrew Bruce and Peter Gedeck

Link to buy: https://www.amazon.com/Practical-Statistics-Data-Scientists-Essential/dp/149207294X/

Ratings: 4.6 out of 5 stars (from 593 reviews)

Best Sellers Rank: #17,487 in Books

#2 in Mathematical & Statistical Software

#2 in Data Warehousing (Books)

#3 in Mathematical Analysis (Books)

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