You are here

Resources to help you transition to teaching online

Instructors: To support your transition to online learning, please see our resources and tools page whether you are teaching in the UK, or teaching outside of the UK.

Inspection copy update April 2020: Due to the current restrictions in place in response to COVID-19, our inspection copy policy has changed. Please refer to our updated inspection copy policy for full details. If you have recently placed an inspection copy order with us, we will be in touch to advise of any changes.

SAGE Stock Take: Please be aware SAGE Distribution (including Customer Services) will be closed from 25th-30th November. Whilst you can still place an order during this time, you order will be held for despatch until after this period. Service will resume on the 1st December.

Basic Computational Techniques For Data Analysis

Basic Computational Techniques For Data Analysis
An Exploration in MS-Excel

  • D. Narayana - Honorary Professor, Gulati Institute of Finance and Taxation, Chavadimukku, Thiruvananthapuram
  • Sharad Ranjan - Faculty, Department of Economics, Zakir Husain Delhi College Evening, University of Delhi
  • Nupur Tyagi - Faculty, Department of Commerce, Gargi College, University of Delhi

January 2021 | SAGE Publications Pvt. Ltd
This book will help readers acquire knowledge and equip them in handling various statistical and financial computations using MS Excel.

The book is designed to equip students to navigate through MS Excel spreadsheets to compute  various statistical and financial measures for use in data analysis. 

Basic Computational Techniques for Data Analysis illustrates the concepts used in economic and financial decision-making in business as well as in day-to-day life,  thus enhancing a deeper understanding of the concepts from both theoretical and practical perspectives. After going through the textbook, readers will be able to ascertain the inbuilt capabilities in MS Excel and comprehend basic computations in statistics and finance. 

This book is essential as a supportive companion for students of economics, commerce, management and social science subjects in general.

Key Features:

Provides an in-depth and clear understanding of various data analysis techniques

Systemic and stepwise explanation of financial and statistical concepts using MS Excel functions

Prior knowledge of statistics, finance and MS-Excel functions not required to understand the concepts

Simplistic clarification of topics such as Future Value of Money, Loan Amortization and Investment Decision Criteria
About the Book
Getting Started with Microsoft Excel
Basic Arithmetic Operations in Excel
Data: Input into Excel and Sources
Visualization of Data Using Graphs in Excel
Measures of Central Tendency
Measures of Dispersion
Compounding: Future Value of Money
Investment Decision Criteria: NPV and IRR
Loan Amortization
Correlation Coefficient
Regression Analysis
Hypothesis Testing in Regression Analysis

Preview this book

For instructors

Select a Purchasing Option

ISBN: 9789353886202