Narayana D., Ranjan S., Tyagi N. Basic Computational Techniques for Data Analysis: An Exploration in MS Excel

2nd Edition. — Routledge, 2023. — 301 p. — ISBN 978-1-032-50354-7.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, and perform calculations and analysis
• Create tables including Pivot Tables
• Become familiar with basic statistical and financial measures
• Design creative spread sheets and communicate effectively in business using spreadsheets and data analysisThis 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.Preface
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