This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms. It illustrates the concepts used in research and data analysis and economic and financial decision making in business and in daily life.
“The book is a self-composite in terms of explaining the concept, definition and computation of statistical methods with numerical examples and with MS Excel. . . . In addition to beginning students, researchers, and teachers in social sciences, business, and management, the book is useful to all in other subjects if they wish to pursue a quantitative approach.”
Professor M R Narayana, Fiscal Policy Institute, Bengaluru
“Basic Computational Techniques for Data Analysis: An Exploration in MS Excel (second edition) is quite handy for mastering computational techniques in Excel and could be a lifelong companion, much beyond a student’s educational career. The authors D Narayana, Sharad Ranjan, and Nupur Tyagi, have filled a gap that was lying vacant for more than three decades.”
Sudip Mohapatra, Senior Economist, IMF
“This book by Professors Narayana, Ranjan, and Tyagi skillfully and uniquely combines Excel-based tools for statistical and financial analysis with the revised version, even including ways for growth rate calculation and use of Census data gainfully for research. It is a very useful text for economics students and communicators to help them make meaningful inferences from data.”
Professor Sukhpal Singh, Indian Institute of Management, Ahmedabad
“This is an important and comprehensive work on various data analysis techniques. It provides an in-depth and clear understanding on the use of multiple data with a systematic and stepwise explanation of statistical and financial concepts – a must-read for everyone in the domain.”
Dr K S James, Director and Senior Professor, International Institute for Population Sciences, Mumbai
'A handy and useful book on data analysis & techniques. It offers clarity on various financial and statistical concepts. This is useful to researchers, beginners in the area and all those involved in data analysis.'
Rashmi Arora, Associate Professor, University of Bradford, UK.