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Data Analysis and Business Modeling with Excel 2013, by David Rojas
Ebook Data Analysis and Business Modeling with Excel 2013, by David Rojas
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Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
About This Book- Create formulas to help you analyze and explain findings
- Develop interactive spreadsheets that will impress your audience and give them the ability to slice and dice data
- A step-by-step guide to learn various ways to model data for businesses with the help of Excel 2013
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- Discover what Excel formulas are all about and how to use them in your spreadsheet development
- Identify bad data and learn cleaning strategies
- Create interactive spreadsheets that engage and appeal to your audience
- Leverage Excel's powerful built-in tools to get the median, maximum, and minimum values of your data
- Build impressive tables and combine datasets using Excel's built-in functionality
- Learn the powerful scripting language VBA, allowing you to implement your own custom solutions with ease
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 approachThis is a step-by-step guide to performing data analysis and business modelling with Excel 2013, complete with examples and tips.
- Sales Rank: #3692228 in Books
- Published on: 2015-10-27
- Released on: 2015-10-27
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .51" w x 7.50" l, .87 pounds
- Binding: Paperback
- 226 pages
About the Author
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.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Wish I Had This Years Ago!
By B. Smith
After reading 'Data Analysis and Business Modeling with Excel 2013', I must say that I enjoyed the organization of this publication. Although I've been an advanced Business Intelligence user for a few years, I still found a few tips that David makes mention of to be very helpful. For anyone considering purchasing this book, I would recommend it for Business and Financial Analysts that work specifically with messy data (specifically for strings and dates). David's examples provide great application of how to quickly clean up large blocs of irregular data and run parallel functions alongside data sets for efficient computation. My only hesitation for not rating 5 stars is that PowerPivot and Power Query are not discussed in this particular text, but I do encourage the author to considers they be included in the next publication... David, I'll be happy to assist if you decide to pursue this.
Nevertheless if you're an Financial or Business Analyst, Data Scientist, or Student looking to take your data skills in Excel to the next level, this is the kind of book that I wish I had years ago. Upon reading, you'll pick up importing with multiple flat file sources quickly as well as blending some basic skills with Microsoft SQL Server tables (very common for large organizations that use Windows exclusively). This book also explores Pivot Tables, Charting, dynamic slicing of data sets, and a bit of VBA macros as well. I for one plan on giving this book to a friend who I know is just beginning to use Excel for more than the standard 'A1 + B1 = C1' formulas. Overall, I think that this is a very valuable resource for many Data Analysts out there and it's written by one of us! Well done, Mr. Rojas!
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