Data Analysis With Excel: Simplify the Usage of Excel Features & Functionalities With the Help of Examples

This book has been written for the desktop version of Microsoft Excel 2019. Key features · Basic components of Excel, the available menu options and tools, some working with multiple workbooks and worksheets, most frequently used and useful keyboard shortcuts. · An initial introduction to what are formulas, functions, and their components. · usage of multiple examples to explain the application in real world scenario. · explaining of different chart types available in Excel and how best it can be used for creating different views of data, good graphics, visualizations for dashboards, and so on. · different ways and methods to consolidate data, complex analysis, and prediction or forecast based on trends. · Excel features that help in automating tasks. What will you learn · performing functions with shortcut keys · formulas and functions · Data visualisations with new chart types · Gantt and milestone chart · smart art and organization chart · putting data in Perspective with pivots · complex data analysis using toolpak · forecasting in Excel · Mail merge using Excel · macros in Excel · what is in Excel 2019 who this book is for anyone who wants to learn Excel, do the mundane tasks easily and quickly, do complex calculations, analyze huge data from internal or external sources, take decisions based on predications, do forecasting, create plans and charts, monitor dashboards for progress and status, and so on. The intent of this book is to explain and simplify the usage of Excel features and functionalities, with the help of examples. We hope this book will enable users to enhance their efficiency and productivity at workplace. We assume that the users reading this book have basic knowledge of working with Excel such as opening Excel, navigating around, enter data, and so on. Microsoft official support website has been used as a reference for this book. For understanding a subject in depth, like the statistical or finance terms used in this book, we advise users to refer to Subject-Related documentation or an expert.