Introduction to R Programming on Sports Data
Introduction to R Programming on Sports Data. I want to show you how easy it is to create predictive models using sports data
The name of this course is Introduction to R Programming on Sports Data. The knowledge you will get with this indescribable online course is astonishing. I want to show you how easy it is to create predictive models using sports data.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Jerry Kim, one of the very best experts in this field.
Description of this course: Introduction to R Programming on Sports Data
Course Description 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 as which positions are the most important (other than the quarterback)? 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 will provide the interest and motivation necessary for you to answer your own statistics and data-related questions using the concepts I cover in this course. I want you to become proactive instead of just being spectators and consumers
Requirements of this course: Introduction to R Programming on Sports Data
What are the requirements? Basic understanding of programming Basic knowledge of Python (and basic knowledge of R is recommended but not required) Basic knowledge of statistics
What will you learn in this course: Introduction to R Programming on Sports Data?
What am I going to get from this course? Complete a project that uses NFL data to determine the most important positions Learn web scraping with R and Python Read xls files into R Know the basics of dataframes, along with manipulating, merging, and combining them Split data into training, validation, and test sets, along with understanding cross-validation Be aware of the problem of overfitting when generating predictive models Learn the basics of Linear regression and Lasso regression Learn the basics of Random Forests Generate data visualization using ggplot2
Target audience of this course: Introduction to R Programming on Sports Data
Who is the target audience? Anyone interested in learning R by doing and going through a project Anyone looking for a fun project to work on Anyone interested in sports but also math and statistics Those who want/need to learn data analysis and machine learning but haven’t seen why it is useful or fun College students Working professionals who need a refresher on predictive modeling and machine learning
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