Basic computational techniques data (36 résultats)

Soft cover. Etat : New. ISBN:9789353886202,284pp.

Soft cover. Etat : New. ISBN:9781032705576,300pp.

Paperback. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Paperback or Softback. Etat : New. Basic Computational Techniques for Data Analysis: Mastering MS Excel and R. Book.

Paperback. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Etat : New. 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 .

Taschenbuch. Etat : Neu. Neuware - This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in today's data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to: - Work confidently with MS Excel and R for efficient data handling and analysis - Present and visualise data using charts, tables, and Pivot Tables - Apply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testing - Perform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculations By combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the book's Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success.…

Etat : New. 2026. 3rd Edition. paperback. . . . . . Books ship from the US and Ireland.

Etat : New. 2026. 3rd Edition. paperback. . . . . .

Taschenbuch. Etat : Neu. Basic Computational Techniques for Data Analysis | An Exploration in MS Excel | D Narayana (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Routledge India | EAN 9781032503547 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

Etat : New.

Etat : New.

Etat : New.

Etat : New. 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 .

Etat : New. 2026. 3rd Edition. hardcover. . . . . .

Etat : New.

Buch. Etat : Neu. Neuware - This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in today's data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to: - Work confidently with MS Excel and R for efficient data handling and analysis - Present and visualise data using charts, tables, and Pivot Tables - Apply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testing - Perform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculations By combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the book's Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success.…

Etat : New. 2026. 3rd Edition. hardcover. . . . . . Books ship from the US and Ireland.

Paperback. Etat : new. Paperback. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to:Work confidently with MS Excel and R for efficient data handling and analysisPresent and visualise data using charts, tables, and Pivot TablesApply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testingPerform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculationsBy combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the books Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays world. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 spreadsheetsLearn how to work with spreadsheets, use formulae, and perform calculations and analysisCreate tables including Pivot TablesBecome familiar with basic statistical and financial measuresDesign 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.ContentThe 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.OutcomeAt 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! 302 pp. Englisch.…

Paperback. Etat : new. Paperback. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to:Work confidently with MS Excel and R for efficient data handling and analysisPresent and visualise data using charts, tables, and Pivot TablesApply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testingPerform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculationsBy combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the books Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays world. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Etat : new. Paperback. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays data-driven world.Using clear illustrations, the book enables readers to organise and manage data, perform analytical computations, create meaningful visualisations, and draw conclusions. It introduces core concepts in research, data analysis, and economic and financial decision-making, demonstrating their relevance in academic, professional, and everyday contexts. This book enables readers to:Work confidently with MS Excel and R for efficient data handling and analysisPresent and visualise data using charts, tables, and Pivot TablesApply statistical techniques such as descriptive statistics, correlation, regression, and hypothesis testingPerform financial analysis using concepts such as time value of money, compounding, NPV, IRR, and EMI calculationsBy combining concepts with practical implementation, the book provides a strong foundation in computational techniques essential for modern data analysis.This revised third edition introduces two new chapters on R for data analysis, complementing the books Excel-based approach, making it an invaluable resource for beginners and students of economics, commerce, management, and the social sciences. This book will be useful for courses in econometrics, financial technology, and applied economics, as it equips readers with the analytical and computational skills required for academic excellence and professional success. This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financial applications using MS Excel and R. Through a gradual, step-by-step approach, it equips readers with the essential skills needed to understand, analyse, and interpret data in todays world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Statistica. …

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 spreadsheetsLearn how to work with spreadsheets, use formulae, and perform calculations and analysisCreate tables including Pivot TablesBecome familiar with basic statistical and financial measuresDesign 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.ContentThe 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.OutcomeAt 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.…