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.
Author Name: Emilee McWilliams
Author Description:
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

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