Learn Business Analytics in Six Steps Using SAS and R, 1st ed. A Practical, Step-by-Step Guide to Learning Business Analytics
Auteur : Tripathi Subhashini Sharma
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
- 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
Chapter Description and Details
1 The Process of Analytics: DCOVA and I
1.1 What is analytics?
1.2 The process of Analytics
1.2.1 Define
1.2.2 Collect
1.2.3 Organize
1.2.4 Visualize
1.2.5 Analyze
1.2.6 Insight
2 Accessing SAS and R
2.1 Why SAS and R
2.2 History of SAS and R
2.3 Installing SAS and R
3Data Manipulation using SAS and R: Collecting and Organizing the Data
3.1 Data flow from ERP to Business Analytics SaaS
3.2 Sanity check on data
3.3 Merging datasets
3.4 Missing values, Duplication , Outliers
3.5 Project datamart
4Discover basic information about data
4.1 Descriptive statistics , measures of central tendency, measures of variation
4.2 How to generate them using:
4.2.1 SAS
4.2.2 R
5Visualisation
5.1 Graphs and charts
5.2 How to create effective graphs and charts using:
5.2.1 SAS
5.2.2 R
5.3 Correlation and co-variance
5.4 How to create graphical and numeric outputs for correlation and co-variance using
5.4.1 SAS
5.4.2 R
6Analyze: Probability and Distributions
6.1 Concepts of probability
6.2 How to generate probability using:
6.2.1 SAS
6.2.2 R
6.3 Concepts of distributions
6.4 Normal distributions
6.5 How to work on distributions using:
6.5.1 SAS
6.5.2 R
7Analyze: Sampling and Sampling Distributions
7.1 Sampling and sampling distributions
7.2 Hypothesis testing
7.3 How to work on sampling and hypothesis testing using:
7.3.1 SAS
7.3.2 R8Analyze: Confidence Interval
8.1 Concept of confidence interval
8.2 How to work in confidence intervals using
8.2.1 SAS
8.2.2 R
9Insight Generation
9.1 What type of conclusions can be drawn by the analysis
9.2 Interpreting results generated by:
9.2.1 SAS
9.2.2 R
A step-by-step guide to learn business analytics using the "DCOVA and I" Define, Collect, Organize, Visualize, Analyze and Insights ) process
The book uses the tools SAS and R to solve case studies and also gives an in-depth understanding of the tools relating to business analytics
The opportunity to learn both SAS and R in one place
The author is a trainer and consultant in this area
Date de parution : 12-2016
Ouvrage de 219 p.
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 35,82 €
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Mots-clés :
Business Analytics; SAS; R; Data Manipulation; Insight Generation