Basic Computational Techniques for Data Analysis

Name: Basic Computational Techniques for Data Analysis | An Exploration in MS Excel
Brand: Routledge India
Price: 55.49 EUR
Availability: OnlineOnly

An Exploration in MS Excel

D. Narayana Sharad Ranjan Nupur Tyagi(Autor*in)

Routledge India (Verlag)

2. Auflage

Erschienen am 20. Juni 2023

300 Seiten

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978-1-000-89079-2 (ISBN)

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Beschreibung

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.

Content

The book intends to illustrate the concepts used in economic and financial decision-making in business and in daily life; it helps demonstrate a deeper understanding from both theoretical and practical perspectives. An effort has been made to make the book student-friendly by using simple language and giving a number of illustrations in each chapter, solved in such a simple manner that they can be easily understood by the students. Practical questions have been included at the end of each chapter so that the students can independently solve them and test their understanding of the concepts and computations introduced in the chapter.

Outcome

At the end, students will be able to describe what a spreadsheet is and what Excel's capabilities are and can work with elements that make up the structure of a worksheet. They will be able to work with spreadsheets and enter data in Excel, use formulae and calculations, and create tables, charts and pivot tables. They will be familiar with basic statistical and financial measures of general use. They will be able to do basic computations in statistics and finance in Excel. Students will acquire the capacity to create personal and/or business spreadsheets following current professional and/or industry standards. Their potential for critical thinking to design and create spreadsheets and communicate in a business setting using spreadsheet vocabulary will be enhanced.

The educational background required for the student to understand the text is some basic English and Mathematics of school-leaving level. Some fl air for numbers will be an asset and for them it will be a breeze; others will have to make an effort but ample illustrations and practice questions make life simple, whether it is basic statistics or slightly intricate finance!

Rezensionen / Stimmen

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

'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. "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.

Basic Computational Techniques for Data Analysis

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