Analytics is becoming a popular tool for managerial decision making. It‘s still not so widespread in countries like India, but in the west it has become a standard practice.
Previously studying analytics involved an in depth knowledge of statistics and programming languages. But widespread availability of statistical package software has changed the reality to some extent. Now more emphasis is given on the application of the techniques to solve the business problems. So there is a need to understand the meaning of the statistical procedures. This book has been written to cater that need.
In this book, all the necessary concepts have been explained keeping the business problem in mind. Also, to remove the apathy for statistics, use of mathematical expressions have been limited. That doesn‘t imply that we don‘t have to study the mathematics part. The intention is to put the substance over matter. As the students get accustomed to these statistical concepts, they can go for further investigations using various mathematical and statistical techniques. A list of suggested books and links have been given in the appendix.
This book is directly related to the instructor‘s presentation. So it is highly advised that students should go through this material at the end of each class. As for general reading, the reader is advised to go according to the chapters. Chapters have been arranged in the order of higher complexity. So the initial chapters are very important.
In this book, the statistical procedures have been implemented on SAS. The explanations of the codes have been from the perspective of a data modeler. For the perspective of a programmer, the students are advised to go
