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A Tour of Data Science: Learn R and Python in Parallel (1st edition)

By: Zhang, Nailong

Part of the Chapman & Hall/CRC Data Science Series series
1000215199 / 9781000215199
eBook (Adobe Pdf)
206 pages
Copy: 30%; print: 30%
Description based on CIP data; resource not viewed.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source.

Key features:

  • Allows you to learn R and Python in parallel
  • Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools - data.table and pandas
  • Provides a concise and accessible presentation
  • Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc.

Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.


PBT Probability & statistics, TJFM Automatic control engineering, UFM Mathematical & statistical software, UMX Programming & scripting languages: general, UN Databases

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