Garfield Stinvil
Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization before working at Noble Desktop. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently.
Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès.
Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills.
Learning Resources by Garfield Stinvil
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Linear and Exponential Trend Lines in Data Visualization
Discover how trend lines reveal hidden insights in your data using linear, exponential, linear forecast, and moving average methods. Learn to visualize patterns clearly and accurately forecast future trends in Excel.
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Streamline Calculations with Excel Named Ranges
Tired of endlessly selecting spreadsheet cells for your calculations? Learn how named ranges in Excel can simplify your workflow and streamline complex formulas effortlessly.
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Data Visualization with Excel's Conditional Formatting
Want to visually highlight your spreadsheet's key insights instantly? Discover how Excel's conditional formatting can transform numbers into colorful, easy-to-understand visuals.
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Logic with IF, AND, OR Functions in Excel
Want to expand your Excel skills and create powerful logical tests using IF combined with AND or OR functions? Learn how to easily determine approvals or conditions with practical examples in this straightforward guide.
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Excel: Calculated Fields and Items in Pivot Tables
Unlock the full potential of your Excel pivot tables by mastering calculated fields and items. Learn how to effortlessly perform complex calculations without altering your source data.
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