Packt: Principles of Data Science

A beginner’s guide to statistical techniques and theory

Published: 10/05/2019

Data scientist. Machine-learning engineer. Big-data engineer. All three rank among the top emerging jobs*, and companies across industries are seeking people with the requisite skills: maths, programming and domain expertise. 

Many people working with data have developed one or two of these skills, but proper data science calls for all three. This comprehensive e-book from Packt, Principles of Data Science, helps fill in the gaps. 

Improve business performance, drive innovation and create new revenue streams by building data products – it all starts here. 

This guide is for you if:
  • You’re looking to understand and apply the basic practices of data science for any domain.
  • You’re acquainted with basic mathematics (algebra, and perhaps probability).
  • You feel comfortable reading snippets of code and pseudo-code. 

Download Principles of Data Science today and learn:
  • Data-science terminology and types of data.
  • The five steps of data science.
  • The basics of statistical data analysis and machine learning.
  • What’s possible beyond the essentials. 

* According to LinkedIn’s 2017 US Emerging Jobs Report

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