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Download Learn Business Analytics in Six Steps Using SAS and R: A Practical, Step-by-Step Guide to Learning Business Analytics free book as pdf format

Learn Business Analytics in Six Steps Using SAS and R: A Practical, Step-by-Step Guide to Learning Business Analytics

Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. This link for educational purpose only. Please remove file from your computer after familiarization.

Apply analytics to business problems using two very popular software tools, SAS and R. No matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster.

 

 

 

 

 

 

Learn Business Analytics in Six Steps Using SAS and R teaches you how to solve problems and execute projects through the "DCOVA and I" (Define, Collect, Organize, Visualize, Analyze, and Insights) process. You no longer need to choose between the two most popular software tools. This book puts the best of both worlds―SAS and R―at your fingertips to solve a myriad of problems, whether relating to data science, finance, web usage, product development, or any other business discipline.

What You'll Learn

  • Use the DCOVA and I process: Define, Collect, Organize, Visualize, Analyze and Insights.
  • Harness both SAS and R, the star analytics technologies in the industry
  • Use various tools to solve significant business challenges
  • Understand how the tools relate to business analytics
  • See seven case studies for hands-on practice

Who This Book Is For

 

This book is for all IT professionals, especially data analysts, as well as anyone who

  • Likes to solve business problems and is good with logical thinking and numbers
  • Wants to enter the analytics world and is looking for a structured book to reach that goal
  • Is currently working on SAS , R, or any other analytics software and strives to use its full power

Book year:

Book pages: 226

ISBN: 9781484210024

Book language: en

File size: 8.48 MB

File type: pdf

Published: 22 January 2020 - 16:00