Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
If you want to start using Excel 2013 for data analysis and business modeling and enhance your skills in the data analysis life cycle then this book is for you, whether you're new to Excel or experienced.
Excel 2013 is one of the easiest to use data analysis tools you will ever come across. Its simplicity and powerful features has made it the go to tool for all your data needs. Complex operations with Excel, such as creating charts and graphs, visualization, and analyzing data make it a great tool for managers, data scientists, financial data analysts, and those who work closely with data. Learning data analysis and will help you bring your data skills to the next level.
This book starts by walking you through creating your own data and bringing data into Excel from various sources. You'll learn the basics of SQL syntax and how to connect it to a Microsoft SQL Server Database using Excel's data connection tools. You will discover how to spot bad data and strategies to clean that data to make it useful to you. Next, you'll learn to create custom columns, identify key metrics, and make decisions based on business rules. You'll create macros using VBA and use Excel 2013's shiny new macros. Finally, at the end of the book, you'll be provided with useful shortcuts and tips, enabling you to do efficient data analysis and business modeling with Excel 2013.
This is a step-by-step guide to performing data analysis and business modelling with Excel 2013, complete with examples and tips.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
About This Book
Who This Book Is For
If you want to start using Excel 2013 for data analysis and business modeling and enhance your skills in the data analysis life cycle then this book is for you, whether you're new to Excel or experienced.
What You Will Learn
In Detail
Excel 2013 is one of the easiest to use data analysis tools you will ever come across. Its simplicity and powerful features has made it the go to tool for all your data needs. Complex operations with Excel, such as creating charts and graphs, visualization, and analyzing data make it a great tool for managers, data scientists, financial data analysts, and those who work closely with data. Learning data analysis and will help you bring your data skills to the next level.
This book starts by walking you through creating your own data and bringing data into Excel from various sources. You'll learn the basics of SQL syntax and how to connect it to a Microsoft SQL Server Database using Excel's data connection tools. You will discover how to spot bad data and strategies to clean that data to make it useful to you. Next, you'll learn to create custom columns, identify key metrics, and make decisions based on business rules. You'll create macros using VBA and use Excel 2013's shiny new macros. Finally, at the end of the book, you'll be provided with useful shortcuts and tips, enabling you to do efficient data analysis and business modeling with Excel 2013.
Style and approach
This is a step-by-step guide to performing data analysis and business modelling with Excel 2013, complete with examples and tips.
David Rojas
David Rojas is a data enthusiast and Python evangelist. Currently, he is enjoying his time as a consultant in the data world. He lives in the Silicon Valley and is active within the data community. After receiving a degree from the University of Florida as an industrial and systems engineer and obtaining a minor in sales engineering, he received his state license as an engineer in training. Soon thereafter, he pursued a career change to the IT world as a data analyst and discovered his passion for data using various tools in order to manage and analyze data in a better way. After many years of working in a wide range of odd data roles, such as reporting, gathering requirements, writing documentation, working with databases, and working with flat files, he decided to make his love for data a reality and started his own business (www.hedaro.com). You will often find his work being cited by various professors and other data enthusiasts around the Bay Area.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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