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 Practical Data Science with R
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... |  |  SAS Programming in the Pharmaceutical Industry, Second Edition
This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry
This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in... |  |  Translating Statistics to Make Decisions: A Guide for the Non-Statistician
Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticiansâand also statisticians who present statistical reports to non-statisticiansâmust avoid if statistical results are to be correctly used for... |
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