Basic computational techniques for data analysis : an exploration in MS Excel / D Narayana, Sharad Ranjan, and Nupur Tyagi.
London ; New York : Routledge, Taylor & Francis Group, 2023Edition: Second editionDescription: xiii, 282 pages : illustrations ; 24 cmISBN:- 9781032503547
- 23 005.54 N16 2023
Item type | Current library | Collection | Call number | Status | Barcode | |
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College Library General Circulation Section | GC | GC 005.54 N16 2023 (Browse shelf(Opens below)) | Available | HNU005551 |
Includes web references and index.
Getting Started With Microsoft Excel
Basic Arithmetic Operations in Excel
Data: Input into Excel and Sources
Visualization of Data Using Charts in Excel
Measures of Central Tendency
Measures of Dispersion
Correlation Coefficient
Regression Analysis
Hypothesis Testing in Regression Analysis
Understanding Growth Rates
Growth Rate Using Regression Analysis
Compounding: Future Value of Money
Investment Decision Criteria: NPV and IRR
Loan Amortization
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 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
College of Engineering and Computer Studies Bachelor of Science in Information Technology
In English
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