Practical Data Science

A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

Nonfiction, Computers, Database Management, Business & Finance, Industries & Professions, Industries, General Computing
Cover of the book Practical Data Science by Andreas François Vermeulen, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andreas François Vermeulen ISBN: 9781484230541
Publisher: Apress Publication: February 21, 2018
Imprint: Apress Language: English
Author: Andreas François Vermeulen
ISBN: 9781484230541
Publisher: Apress
Publication: February 21, 2018
Imprint: Apress
Language: English

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.

The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.

What You'll Learn

  • Become fluent in the essential concepts and terminology of data science and data engineering 

  • Build and use a technology stack that meets industry criteria

  • Master the methods for retrieving actionable business knowledge

  • Coordinate the handling of polyglot data types in a data lake for repeatable results

Who This Book Is For

Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.

The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.

What You'll Learn

Who This Book Is For

Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers

More books from Apress

Cover of the book Become ITIL Foundation Certified in 7 Days by Andreas François Vermeulen
Cover of the book R Recipes by Andreas François Vermeulen
Cover of the book When to Hire or Not Hire a Consultant by Andreas François Vermeulen
Cover of the book Data Merge and Styles for Adobe InDesign CC 2018 by Andreas François Vermeulen
Cover of the book Essential Docker for ASP.NET Core MVC by Andreas François Vermeulen
Cover of the book Python for Data Mining Quick Syntax Reference by Andreas François Vermeulen
Cover of the book Traders at Work by Andreas François Vermeulen
Cover of the book SQL Server Query Performance Tuning by Andreas François Vermeulen
Cover of the book CSS Mastery by Andreas François Vermeulen
Cover of the book Beginning Android C++ Game Development by Andreas François Vermeulen
Cover of the book Python Unit Test Automation by Andreas François Vermeulen
Cover of the book Cyber Security on Azure by Andreas François Vermeulen
Cover of the book Beginning Android Wearables by Andreas François Vermeulen
Cover of the book Compensating Your Employees Fairly by Andreas François Vermeulen
Cover of the book Java Closures and Lambda by Andreas François Vermeulen
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy