Sabermetrics 101
Introduction to Baseball Analytics
This course will cover the theory and the fundamentals of the emerging science of Sabermetrics. We will discuss the game of baseball, not through consensus or a fan’s conventional wisdom, but by searching for objective knowledge in baseball performance. These and other areas of sabermetrics will be analyzed and better understood with current and historical baseball data.
The course also serves as applied introduction to the basics of data science, an emerging field of scholarship, that requires skills in computation, statistics, and communicating results of analyses. Using baseball data, the basics of statistical regression, the R Language, and SQL will be covered.
This course was successfully taught on the edX platform as a MOOC in 2014. This course has also been successfully taught at the Experimental College at Tufts University since 2004. Many of its former students have gone on to careers writing about baseball and working in various MLB baseball operations and analytics departments.
What you'll learn
- The basics of data science, and how it applies to the study of baseball
- Fundamentals of R and SQL programming languages
- How to compute and communicate statistical analysis of baseball data
- The history of baseball analytics and sabermetrics as a field of inquiry
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| Rating | 4.2★ based on 7 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 4 weeks, 6–8 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | Boston University, BUx via edX |
| Instructor | Andy Andres |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Science |
| Tags | Data Analysis & Statistics Science |
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What people are saying
advantages have easily outweighed
The advantages have easily outweighed the disadvantages for me, but I did go into more detail for my disadvantages so that you can have an understanding of the pitfalls to watch out for, and the parts of the program can use improvement.
program can use improvement
good introductory data science
This is a good introductory data science course for beginners.
many things you need
The course teaches you many things you need to become a data scientist including SQL, R, data analysis...
brush up
I took this course to brush up on my SQL and learn R in an engaging manner.
did go
engaging manner
go into
more detail
scientist including
watch out
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Baseball Recruiting Coordinator $38k
Assitant Baseball Coach $48k
Head Baseball Coach 1 $49k
Coordinator, Baseball Communications $49k
Professional Baseball Instructor $51k
Baseball Umpire $52k
Coordinator, Baseball Systems $53k
Baseball columnist $55k
Baseball Operations Manager $67k
Teacher/Baseball Coach $70k
Baseball Player Consultant $81k
Architect, Baseball Systems $142k
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| Rating | 4.2★ based on 7 ratings |
|---|---|
| Length | 4 weeks |
| Effort | 4 weeks, 6–8 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $0 |
| From | Boston University, BUx via edX |
| Instructor | Andy Andres |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Science |
| Tags | Data Analysis & Statistics Science |
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