“Data Analysis with Microsoft Excel” is a comprehensive guide that teaches readers how to analyse data using Microsoft Excel. Kenneth N. Berk and Patrick Carey wrote the book to help readers improve their data analysis skills, which are becoming increasingly important in today’s data-driven world.
The book begins with an introduction to Excel before moving on to explain fundamental statistical concepts and techniques like frequency distribution, measures of central tendency, and variability. The authors then show readers how to use the most commonly used Excel functions, such as SUM, AVERAGE, and COUNT, to perform data analysis. Advanced topics covered in the book include regression analysis, ANOVA, and time series analysis.
The authors also discuss data visualisation and how to create meaningful visualisations using Excel’s built-in charting tools. In addition, the book explains how to summarise and analyse large datasets using Excel’s powerful pivot table functionality.
The authors provide step-by-step instructions and examples throughout the book to help readers understand the concepts and techniques being taught. To help readers understand the material, the book contains numerous screenshots and visual aids. At the end of each chapter, there are also practise exercises and review questions to help readers reinforce their understanding of the material.
The practical approach of “Data Analysis with Microsoft Excel” is one of its strengths. The authors show how to use Excel to analyse data in real-world scenarios, such as analysing stock prices, survey data, and sales data. A chapter on how to prepare data for analysis is also included in the book, which is an important step in any data analysis project.
Overall, “Data Analysis with Microsoft Excel” is an excellent resource for anyone looking to hone focus their Excel data analysis skills. The book covers a wide range of topics and takes a hands-on, practical approach to learning. The authors do an excellent job of explaining complex concepts in a clear and understandable manner, making this book an excellent resource for both novice and advanced Excel users.