Basic Computational Techniques for Data Analysis: An Exploration in MS Excel

This book is designed to equip students with the skills to navigate through MS Excel spreadsheets and compute statistical and financial measures for data analysis. It provides an in-depth understanding of data analysis with suitable illustrations and is useful for students and departments of economics, commerce, management, financial technology, basic computational techniques, data analysis, and applied economics across the UK and USA.

Format: Hardback
Length: 282 pages
Publication date: 20 June 2023
Publisher: Taylor & Francis Ltd

This comprehensive book is meticulously crafted to empower students with the skills and knowledge necessary to adeptly navigate through Microsoft Excel spreadsheets, enabling them to compute a wide range of statistical and financial measures and effectively utilize them in data analysis. It offers a profound and lucid understanding of data analysis, accompanied by illustrative examples that enhance comprehension and application. This invaluable resource is designed to cater to students and departments specializing in economics, commerce, management, financial technology, basic computational techniques, data analysis, and applied economics across the United Kingdom and the United States.

The book is organized into distinct chapters, each dedicated to a specific aspect of data analysis using Excel. The first chapter introduces the fundamental principles and tools of Excel, including its features, functions, and navigation. It provides a solid foundation for students to build upon as they delve into more advanced topics.

The subsequent chapters focus on specific statistical and financial measures that are commonly used in data analysis. These measures include descriptive statistics, such as measures of central tendency, dispersion, and correlation, as well as inferential statistics, such as hypothesis testing and regression analysis. The book provides detailed explanations and examples of how to compute and interpret these measures using Excel, making it accessible to students with varying levels of mathematical proficiency.

In addition to its technical content, the book emphasizes the importance of data visualization in data analysis. It teaches students how to create visually appealing charts, graphs, and tables to effectively communicate their findings to others. The book includes practical tips and techniques for designing and formatting data visualizations, ensuring that they are clear, concise, and visually appealing.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of data analysis using Excel. These examples cover a wide range of industries and sectors, including finance, marketing, healthcare, and sports, allowing students to apply their knowledge to real-world situations.

Furthermore, the book includes a comprehensive appendix that provides additional resources and references for students who wish to further their knowledge in data analysis. It includes a list of online tutorials, courses, and resources that can help students expand their skills and expertise in Excel and data analysis.

In conclusion, this book is an essential resource for students who aspire to excel in data analysis and computation using Microsoft Excel. It provides a thorough and comprehensive understanding of data analysis, statistical and financial measures, data visualization, and practical applications. With its clear and engaging writing style, illustrative examples, and comprehensive appendix, this book is suitable for students at all levels, from beginners to advanced learners. Whether you are pursuing a career in economics, commerce, management, or any other field that involves data analysis, this book will equip you with the skills and knowledge necessary to succeed.

Weight: 720g
Dimension: 246 x 174 (mm)
ISBN-13: 9781032459356
Edition number: 2 ed