Basic Computational Techniques for Data Analysis : An Exploration in MS Excel book cover
2nd Edition

Basic Computational Techniques for Data Analysis
An Exploration in MS Excel

  • Available for pre-order on May 30, 2023. Item will ship after June 20, 2023
ISBN 9781032503547
June 20, 2023 Forthcoming by Routledge India
272 Pages 213 B/W Illustrations

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USD $48.95

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Book Description

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 will help students acquire knowledge and develop skills in statistical techniques and financial analysis using MS Excel. With illustrations and examples, it will help the readers to:

  • visualize, present and analyze data through MS Excel spreadsheets and tables and create personal or business spreadsheets,
  • learn how to work with spreadsheets, use formulae, perform calculations and analysis,
  • create tables including pivot tables,
  • become familiar with basic statistical and financial measures and
  • design creative spreadsheets and communicate effectively in business using spreadsheets and data analysis.

This revised and updated second edition will be an essential resource for students of economics, commerce, management, and other social science subjects, and will be useful to those studying econometrics, financial technology, basic computational techniques, data analysis, and applied economics.

Table of Contents

1. Getting Started with Microsoft Excel 2. Basic Arithmetic Operations in Excel 3. Data: Input into Excel and Sources 4. Visualization of Data Using Charts in Excel 5. Measures of Central Tendency 6. Measures of Dispersion 7. Correlation Coefficient 8. Regression Analysis 9. Hypothesis Testing in Regression Analysis 10. Understanding Growth Rates 11. Growth Rate Using Regression Analysis 12. Compounding: Future Value of Money 13. Investment Decision Criteria: NPV and IRR 14. Loan Amortization

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D Narayana is Former Director of the Gulati Institute of Finance and Taxation, Thiruvananthapuram and Chairman of Kerala Public Expenditure Review Committee. He is a renowned economist, researcher and statistician. He holds a PhD from Indian Statistical Institute (ISI), Kolkata. He held the Reserve Bank of India (RBI) Chair at Centre for Development Studies (CDS), Thiruvananthapuram during 2001- 2012. He has published numerous articles in reputed national and international journals on health, state finance, decentralization, issues of SC/ST Communities, agriculture, irrigation, and migrant labour and has authored and co-edited many books. He also served as a member of many important committees, including the Expert Committee on Goods and Services Tax (GST), Committee for revising the rates for the medical procedures under the centrally sponsored Rashtriya Swasthya Bima Yojana (RSBY), and the Contributory Pension Review Committee, constituted by the Government of Kerala.

Sharad Ranjan is a Professor in Economics at Zakir Husain Delhi College Evening (University of Delhi) with a teaching experience of more than two decades. He is a PhD from the Centre for Economic Studies and Planning, Jawaharlal Nehru University, New Delhi. He has published many research papers in various journals and has also authored five books. He has conducted Workshops on Financial Literacy for the Securities and Exchange Board of India (SEBI) as a resource person and has also co-supervised and evaluated Ph D theses.

Nupur Tyagi is Assistant Professor at Gargi College, University of Delhi. She completed her post-graduation and MPhil from Delhi School of Economics, University of Delhi. Her areas of interest are finance and accounting.


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 Narayan, 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 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 Institue for Population Sciences, Mumbai