Isbn: 9781041300342 - basic computational techniques for data analysis: mastering ms excel and r (12 risultati)

Condizione: New.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: 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 .

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

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

Taschenbuch. Condizione: 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.…

Paperback. Condizione: 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.…

Paperback. Condizione: 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.…

Paperback. Condizione: 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.…