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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.</p><p>Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.</p><p>This practical book guides you through: </p><ul><li><b>Foundations of analytics in Excel: </b> Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analytics</li><li><b>From Excel to R: </b> Cleanly transfer what you've learned about working with data from Excel to R</li><li><b>From Excel to Python: </b> Learn how to pivot your Excel data chops into Python and conduct a complete data analysis</li></ul><p/><br></br><p><b> About the Author </b></p></br></br><p>George Mount is the founder and CEO of Stringfest Analytics, a consulting firm specializing in analytics education and upskilling. He has worked with leading bootcamps, learning platforms and practice organizations to help individuals excel at analytics. George regularly blogs and speaks on data analysis, data education and workforce development.</p><p>George holds a bachelor's degree in economics from Hillsdale College and master's degrees in finance and information systems from Case Western Reserve University. He resides in Cleveland, Ohio.</p>

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