Data Analysis in R: Analyzing NFL data

Learn to perform data analysis using R programming and apply it on sports data
Instructed by: Jerry Kim | Subject: Business, Data & Analytics

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Description

Are you interested in learning about R Programming? Are you interested in learning about data analysis and machine learning, but don't know where to start? Are you interested in sports and curious to know how analytics can be applied to sports? In the game of football, are you curious to know which positions are the most important? If so, you've come to the right course! In this course, I will show you how easy it is to use the statistical software program R Studio in order to use data from the NFL to answer the question of which positions matter the most in the game of football! I will work you through this project so you learn about R by doing, as opposed to watching boring lectures that cover theory without any applications My hope is that going over this project you will learn how to program in R and have fun working on an interesting project.

Outcome

1. Complete a project that uses NFL data to determine the most important positions
2. Learn web scraping with R and Python
3. Read xls files into R
4. Know the basics of dataframes, along with manipulating, merging, and combining them
5. Split data into training, validation, and test sets, along with understanding cross-validation
6. Be aware of the problem of overfitting when generating predictive models
7. Learn the basics of Linear regression and Lasso regression
8. Learn the basics of Random Forests
9. Generate data visualization using ggplot2

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Course Info

• 10 Lectures
• 1 Hour
• Language: English
• Subject: Business, Data & Analytics
• Instructed by: Jerry Kim
• Last updated on October 2017
• Platform: Udemy