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Interpreting Data Using Descriptive Statistics with R

by Emilee McWilliams

Learn how to compute and interpret some of the most powerful statistical measures across a variety of industries. From mean, median and mode to variance and percentiles, make an impact efficiently in businesses and organizations.

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What you'll learn

Interpreting statistics can be confusing or time consuming. In this course, Interpreting Data using Descriptive Statistics with R, you will learn foundational knowledge to efficiently describe a data set using R. First, you will learn how to calculate mean, median, and mode. Next, you will discover variance and standard deviation. Finally, you will explore how to compare datasets using these statistics. When you’re finished with this course, you will have the skills and knowledge of computing these statistics needed to explain a dataset.

Table of contents

Course Overview
1min
Understanding Types of Variables and Measurement Scales
9mins
Interpreting Measures of Location within R
23mins
Measuring Variance with Descriptive Statistics
26mins
Creating Credit Application Summary for Month over Month Data
16mins
Applying Standard Error and Confidence Estimates to a Sample Mean
6mins

About the author

Emilee McWilliams

Emilee has an M.S. in Business Statistics from Mercer University and currently works as a Data Scientist. She has worked with data for 5+ years, spending the majority of her time in finance. She created marketing solutions at an investment management firm, consulted with lenders on risk models at a credit bureau, and currently works in consumer banking. Through her love of data, she has always had a passion for teaching. Prior to grad school, she worked as a teacher and enjoys simplifying comple... more

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