Learn Business Analytics in Six Steps Using SAS and R

A Practical, Step-by-Step Guide to Learning Business Analytics
1. Auflage 2016
ISBN: 978-1-4842-1002-4
Verlag: Apress

Buch, Englisch, 219 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 4583 g

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.

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

Zielgruppe

Popular/general

Autoren/Hrsg.

Tripathi, Subhashini Sharma

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

1.The process of Analytics - DCOVA and I.- 2. Accessing SAS and R.- 3 Data Manipulation using SAS and R - Collect and Organising the data.- 4.Discover basic information about data.- 5.Visualisation.- 6.Analyse - Probability and Distributions.- 7.Analyse- Sampling and Sampling Distributions.- 8.Analyse- Confidence Intervals and sanctity of Analysis.- 9.Insight Generation.

Über Autor(innen)

Subhashini Tripathi is an enthusiastic analytics professional focused on learning, training and development, and consulting projects, especially those related to analytics practice, in SBUs, SMEs , NGOs and start-ups. Subhashini is based out of Bangalore and is currently involved in consulting assignments with various corporations and educational institutions. She is a CompTIA Certified Technical Trainer.