SABR101x: Sabermetrics 101: Introduction to Baseball Analytics

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9/10 stars
based on  10 reviews
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SABR101x: Sabermetrics 101: Introduction to Baseball Analytics

Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

edX online courses
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22637 reviews

Course Description

*Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.  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 hitting, pitching, and fielding 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, a growing field of scholarship, that requires skills in computation, statistics, and communicating results of analyses. Using baseball data, the basics of stati... *Note - This is an Archived course* This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active, but many people enjoy watching the videos and working with the materials. Make sure to check for reruns of this course.  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 hitting, pitching, and fielding 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, a growing 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 has 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. Professor Andres talks about the science of baseball: The Science of the Home Run, TedXYouth@Beacon Street .
Reviews 9/10 stars
10 Reviews for SABR101x: Sabermetrics 101: Introduction to Baseball Analytics

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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10/10 starsCompleted
4 years, 8 months ago
This course is the best of what MOOC's can be. The content is well thought out, and proceeds along various a few different learning tracks. By using these various tracks, the course blends the history of baseball with technical 'how-to' of SQL and R programming. The content was well paced, the videos long enough and with great visual interest. The supporting SQL sandbox worked well and was a great way to learn the subject. Most of the R and SQL MOOC courses I have tried are largely the professor's powerpoint slides thrown up on the screen. This course has high production value that supports the content. I strongly recommend this class for anyone interested in how Big Data really works. It takes a complicated subject (data analysis) and it roots it in something easily understood, baseball.
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Greg Hamel profile image
Greg Hamel profile image
8/10 starsCompleted
  • 116 reviews
  • 107 completed
5 years, 4 months ago
Intro to sabermetrics is a beginner course in baseball analytics published by Boston University on the edX platform. The course is organized into 4 different content tracks: a statistics track, a sabremetrics track, a tech track, and a baseball history track. The statistics track covers basic statistical concepts like mean, median, measures of spread, regression to the mean and correlation. The sabremetrics track introduces a variety of concepts and computed statistics in baseball analytics like on base percentage, slugging, other hitting metrics and converting runs to wins. The tech track focuses on teaching SQL database queries using an interactive mySQL environment as well R basics. Each of the course's 6 weeks of content start with a brief overview of the material to be covered in each track. SABR101x is a good intro to sabremetrics, but it suffers from several issues common to first run MOOCs that held it back from being a great... Intro to sabermetrics is a beginner course in baseball analytics published by Boston University on the edX platform. The course is organized into 4 different content tracks: a statistics track, a sabremetrics track, a tech track, and a baseball history track. The statistics track covers basic statistical concepts like mean, median, measures of spread, regression to the mean and correlation. The sabremetrics track introduces a variety of concepts and computed statistics in baseball analytics like on base percentage, slugging, other hitting metrics and converting runs to wins. The tech track focuses on teaching SQL database queries using an interactive mySQL environment as well R basics. Each of the course's 6 weeks of content start with a brief overview of the material to be covered in each track. SABR101x is a good intro to sabremetrics, but it suffers from several issues common to first run MOOCs that held it back from being a great course. The course has good instruction and the organization of the materials into different tracks was nice to let people focus on areas of interest. On the down side, information in the videos was sometimes hard to make out due small text size and poor color choices with backgrounds and pens. The difficulty level also seemed a bit unpredictable: the statistics track was very basic while the tech track gets into SQL and R at a rate that is probably a bit too fast for people with no background knowledge. In addition, tech exercises sometimes suffered from ambiguous wording and automated graders initially expected too much accuracy on rounded answers. Many of these kinks could be straightened out for a second offering of the course. If you love baseball and have any interest in baseball analytics, you will probably enjoy this course. If you're mainly interested in analytics and picking up new technical skills, the SQL tech sections and SQL sandbox are the highlights of the course.
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Francisco Goitia profile image
Francisco Goitia profile image
9/10 starsCompleted
  • 7 reviews
  • 6 completed
5 years, 3 months ago
I think it was a very good course. It achieves very well the objective of introducing you to key concepts in an array of subjects. The fact that it is an applied analytics course, is a good reason  to take it if you are into analytics.
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student

10/10 starsCompleted
5 years, 4 months ago
Well organized and great for people who love statistics, databases and sports. I recommend it. Material was great, there was a sandbox to train and you have a fair chance to pass. I wish I would have such a course on college. Thanks to Mr Andres and Boston University.
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Leandro Meili profile image
Leandro Meili profile image
10/10 starsCompleted
  • 2 reviews
  • 2 completed
8 months, 2 weeks ago
If you are new to SQL and R this is the course to attend. With baseball as a motivational background you learn a lot and in an easy way. It has a nice statistics review in each of the classes. I strongly recommend this course, cause knowning the properly use of databases, separates you from the common spreadsheet users.
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Jack Rogers profile image
Jack Rogers profile image
10/10 starsCompleted
  • 14 reviews
  • 8 completed
5 years, 4 months ago
This course combines statistics and different computer programing languages in the application of understanding and evaluating the American sport of baseball. This course is, not for your average baseball fan, but it provides a new methodology for scientifically analyzing baseball through mathematics. The instructor moves at a rapid pace and covers the processes of baseball analytics with perfection. This course is 'MONEYBALL #101'! I would strongly encourage this course to anyone interested in sports, statistics, computer programming, and of course baseball...!
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Gordon Haff profile image
Gordon Haff profile image
8/10 starsTaking Now
  • 6 reviews
  • 5 completed
5 years, 4 months ago
It's a well-organized course--I like how it is explicitly split into tracks-- and both the material and the delivery are engaging. The overall level also seems appropriate given prereqs and the material to cover. A few minor glitches here and there, such as difficulty reading code on videos, but overall A for the material presented. My one real criticism is that, given the necessarily survey nature of the course materials, it would have been nice to have had more explicit pointers to future self-directed exploration. As it is, a lot of the code used in the lectures wasn't even made available for download as of this writing. Of course, the course suggests plenty of jumping off points for future personal exploration but even a fairly minimalist set of further resources would have been welcome.
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student

10/10 starsCompleted
5 years, 6 months ago
I just finished up Edx's MIT 15.071 The Analytics Edge, so I hope it has prepared me for this interesting course. Looking forward to getting started next week.
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Student

10/10 starsTaking Now
5 years, 6 months ago
This sounds like an applied data science class using baseball statistics, count me as interested! And sabermetrics is talked about all the time now by baseball writers and broadcasters. It would be fun to learn more about that...
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10/10 starsCompleted
5 years, 6 months ago
Pre-Requisits for this course are : You have to be a Hotdog eating,Baseball waching,beer drinking ,Tobaco chewing and spitting left and right,and preferably Over weight and Fluent in language of profanity:and finally Harry Carry type talking in order to understand the analytic of this course.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.