Interpreting Data Using Descriptive Statistics with R
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.
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
- Intro and Topic Outline 1m
- Variance for Population and Sample 5m
- Demo: Variance Applied to Home Loans 3m
- Standard Deviation for Population and Sample 2m
- Demo: Standard Deviation 4m
- Range, Interquartile Range, and Box and Whisker Plot 3m
- Demo: Range, Interquartile Range, and Box and Whisker Plot 3m
- Coefficient of Variation 1m
- Demo: Coefficient of Variation 3m
- Summary 1m
- Introduction and Topics Covered 1m
- Dataset and Goal of Analysis 2m
- Demo: Importing and Converting Data Types 3m
- Demo: Library(dplyr) Package for Summary Statistics of Entire Dataset 3m
- Demo: Best Function for Summary Statistics by Group 2m
- Demo: Analyze and Interpret Month over Month Summary Statistics 5m
About the author
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