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Sabermetrics is the empirical analysis of baseball. In other words, it is baseball statistics that measure in-game activity. The [course_title] course focuses on the essential concepts of the emerging science of Sabermetrics.

Throughout the course, you will explore the concepts of the baseball game and its current and historical baseball data. The course also covers the basics of statistical regression, the R Language, and SQL.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

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Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

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Course Credit: Boston University via edX

 

Course Curriculum

Module-1
Office Hours 1 (7/22) 00:56:00
Office Hours 7/30 01:23:00
Office Hour 3 01:01:00
Office Hour 4 01:08:00
Video 00:38:00
Introduction From Andy Andres 00:06:00
Navigating an edX Course 00:03:00
Using the edX Video Player 00:02:00
Socializing on edX 0011 00:01:00
How Grades Work 00:01:00
edX Mobile App 00:02:00
Module-2
What is Sabermetrics? Part 1 00:05:00
What is Sabermetrics? Part 2 00:06:00
What is Statistics? 00:06:00
What is Statistics? Part 2 00:08:00
What is Data Science? 00:12:00
What is Big Data? 00:09:00
What is a Database? 00:11:00
What is the Lahman Database? 00:11:00
Module-3
SQL Sandbox Walkthrough 00:05:00
First SQL Sandbox Query 00:03:00
More SQL Sandbox Queries 00:03:00
Using Calculations to Create New Columns 00:05:00
Henry Chadwick Part 1 00:14:00
Henry Chadwick Part 2 00:06:00
Dave Cameron 00:09:00
Jonah Keri 00:09:00
Hitting Metrics Part 1 00:07:00
Relationship with Team Runs Scored 00:10:00
Better Hitting Metrics 00:10:00
Module-4
Descriptive Stats: Mean 00:08:00
Descriptive Stats: Median and Mode 00:07:00
Descriptive Stats: Range, IQR, Percentiles 00:10:00
Descriptive Stats: Average Absolute Deviation 00:09:00
Descriptive Stats: Variance, SD, CV 00:10:00
Descriptive Stats: The Bonds Distribution 00:05:00
Descriptive Stats: Symmetric Distribution 00:04:00
Descriptive Stats: Skewed Distribution 00:07:00
Module-5
SQL Where 00:08:00
SQL Where II 00:05:00
SQL Order By 00:08:00
SQL Distinct 00:01:00
SQL Group By 00:11:00
SQL Group By (Career Totals) 00:02:00
SQL Sorting with Order By 00:01:00
SQL: Limiting Results 00:01:00
SQL: Aggregating Season Stats 00:02:00
SQL Max Function 00:02:00
SQL Average Function 00:02:00
SQL Slash Stats 00:04:00
SQL Having 00:04:00
SQL OPS 00:03:00
SQL Nested Selects 00:06:00
Module-6
Hugh Fullerton: Part I 00:07:00
Hugh Fullerton: Part II 00:05:00
Hugh Fullerton: Part III 00:11:00
Hugh Fullerton: Part IV 00:12:00
Hugh Fullerton: Part V 00:13:00
Sean Forman 00:15:00
Mike Debartolo 00:09:00
Module-7
Different Eras I 00:10:00
Different Eras II 00:10:00
Different Eras III 00:06:00
Different Eras IV 00:08:00
Different Eras V 00:10:00
Runs to Wins I 00:08:00
Runs to Wins II 00:11:00
Runs to Wins III 00:10:00
Runs to Wins IV 00:08:00
Runs to Wins V 00:08:00
Bivariate Statistics Part I 00:11:00
Bivariate Statistics Part II 00:09:00
Bivariate Statistics Part III 00:04:00
Module-8
Joins I 00:02:00
Joins II 00:02:00
Joins III 00:09:00
Joins IV 00:02:00
Joins V 00:06:00
Joins VI 00:04:00
Joins VII 00:02:00
Joins VIII 00:02:00
Joins IX 00:03:00
Joins X 00:09:00
Joins XI 00:04:00
JOINS XII 00:06:00
Joins XIII 00:05:00
Module-9
F.C. Lane 00:13:00
Cory Schwartz 00:11:00
Joe Bohringer 00:21:00
Fielding Part 1 – The Problem With Fielding Metrics 00:03:00
Fielding Part 2 – Fielding Data with Lahman 00:06:00
Fielding Part 3 – What is Wrong with Errors? 00:06:00
Fielding Part 4 – Errors Over Time 00:03:00
Fielding Part 5 – What is Wrong with Fld%? 00:04:00
Fielding Part 6 – Why Range is Important 00:04:00
Fielding Part 7 – Derek Jeter and Ozzie Smith 00:05:00
Fielding Part 8 – Range Factor 00:07:00
Fielding Part 9 – RF/9 00:04:00
Fielding Part 10 – What is Wrong with Range Factor? 00:08:00
Fielding Part 11 – Total Player Wins 00:08:00
Fielding Part 12 – Beyond Box Score Data 00:05:00
Fielding Part 13 – Batted Ball Tracking Metrics 00:03:00
Fielding Part 14 – Ozzie and Derek: More detailed data 00:06:00
Fielding Part 15 – UZR and DRS 00:06:00
Module-10
Pitching Part 1 – Wins 00:05:00
Pitching Part 2 – Losses 00:04:00
Pitching Part 3 – Problems with W/L 00:04:00
Pitching Part 4 – Bullpens 00:04:00
Pitching Part 5 – ERA Problems 00:09:00
Pitching Part 6 – Skill Metrics 00:06:00
Pitching Part 7: Game Metrics 00:07:00
Pitching Part 8 – Pitching Runs 00:04:00
Pitching Part 9: FIP and xFIP 00:10:00
Module-11
R Intro Part 1 00:05:00
R Intro Part 2 00:10:00
R Intro Part 3 00:05:00
R Intro Part 4 00:07:00
R Intro Part 5 00:06:00
R Intro Part 6 00:06:00
R Intro Part 7 – Reading and Viewing Data 00:10:00
R Intro Part 8 – Subsetting Data 00:04:00
R Intro Part 9 – Graphing with ggplot2 00:05:00
R Intro Part 10: Merging and Adding New Columns 00:05:00
R Intro Part 11 – Other Data Manipulation 00:06:00
Module-12
Roth and Rickey I 00:10:00
Roth and Rickey II 00:11:00
Rob Neyer 00:29:00
Regression to the Mean 1 – Introduction 00:05:00
Regression to the Mean 2 – IS&T vs. ELCR 00:07:00
Regression to the Mean 3 – OPS Query 00:07:00
Regression to the Mean 4 – RStudio 00:10:00
Regression to the Mean 5 – Luck vs. Skill 00:06:00
Regression to the Mean 6 – Sample Size 00:08:00
Regression to the Mean 7 – Carleton 00:10:00
Module-13
Runs Estimators 1 – Linear Weights 00:08:00
Runs Estimators 2 – Offensive Formulas 00:09:00
Runs Estimators 3 – Linear Weights in R 00:05:00
Runs Estimators 4 – Plotting in R 00:08:00
Runs Estimators 5 – Correlations to Runs 00:06:00
Runs Estimators 6 – More Correlations 00:11:00
Runs Estimators 7 – More Estimators 00:09:00
Module-14
Pythagorean Expectation 1 – Algebra 00:06:00
Pythagorean Expectation – Linear Regression 00:10:00
Functions and Loops I 00:08:00
Functions and Loops II 00:03:00
Functions and Loops III 00:05:00
Functions and Loops IV 00:07:00
Functions and Loops V 00:05:00
Functions and Loops VI 00:03:00
Functions and Loops VII 00:05:00
Functions and Loops VIII 00:09:00
Functions and Loops IX 00:06:00
Module-15
Gamelogs I 00:03:00
Gamelogs II 00:10:00
Gamelogs III 00:06:00
Gamelogs IV 00:08:00
Cook I 00:09:00
Cook II 00:09:00
Cook III 00:05:00
Module-16
Dave Appelman 00:08:00
Dave Studenmund 00:11:00
Lewie Pollis 00:22:00
Replacement Level 1 00:10:00
Replacement Level 2 00:12:00
Replacement Level 3 00:03:00
Intoduction to WAR 00:07:00
WAR – Offense 00:06:00
WAR – Baserunning 00:07:00
WAR – Fielding 00:08:00
WAR – Replacement Level 00:10:00
Pitching WAR Intro 00:05:00
Runs Allowed vs. FIP 00:08:00
Other WAR Adjustments 00:07:00
Module-17
Attendance Modeling I 00:06:00
Attendance Modeling II 00:10:00
Attendance Modeling III 00:05:00
Attendance Modeling IV 00:10:00
Attendance Modeling V 00:11:00
Module-18
Park Factors I 00:08:00
Park Factors II 00:02:00
Park Factors III 00:07:00
Module-19
Lindsey I 00:10:00
Lindsey II 00:10:00
Lindsey III 00:08:00
Lindsey IV 00:08:00
Lindsey V 00:08:00
Lindsey VI 00:06:00
Lindsey VII 00:13:00
Lindsey VIII 00:07:00
Module-20
Christina Kahrl 00:23:00
Jeff Zimmerman 00:07:00
Meredith Wills 00:28:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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