Practical Statistics for Data Scientists
50 Essential Concepts
Ranked #22 in Data Science, Ranked #22 in Github — see more rankings.
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various 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 programming language, and have some exposure to... more
Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to... more
Rankings by Category
Practical Statistics for Data Scientists is ranked in the following categories:
- #43 in Operations Research
- #63 in Software Testing
- #26 in Statistics
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