Data isn't valuable until you figure out what the data actually mean. Statistics transforms data into meaningful information, enabling organizations to make more informed decisions. That's why statistics—collecting, analyzing, and presenting data—is a valuable skill for anyone in business or academia.
In this course, LinkedIn Learning statistics and business analysis instructor Eddie Davila takes you on a nuanced, step-by-step applied learning path to understanding statistics and statistical methods in Excel. Eddie first teaches the basic principles of statistical sampling, and then utilizes random samples to explore complex applications of statistical theory—all while using Excel statistics tools and functions. He covers topics like regression, hypothesis tests, analysis of variance (ANOVA), and Monte Carlo simulations, showing how Excel can help you tackle and interpret advanced statistical analyses.
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