Take a Swing at Baseball Analytics: Explore Player Careers

Offered By
In this Guided Project, you will:

Calculate statistics on groups within large data sets

Create visualizations

Filter data to include only observations meeting criteria you define

3 hours
Beginner
No download needed
Split-screen video
English
Desktop only

Former Major League Baseball (MLB) player Matt Kata joins MathWorks to introduce you to data analysis using baseball statistics. By analyzing historic batting statistics, you will explore player careers and answer the question: When do great hitters peak in their career? In this project, you will work in MATLAB, a programming environment used by millions of engineers and scientists, and now MLB players! You’ll have access to pitching, batting, and defensive statistics dating back to 1871, enabling you to explore and answer a wide variety of questions. You will compute statistics like On-base Plus Slugging (OPS), visualize results, and filter data to highlight players that meet criteria you specify, such as the number of home runs. Whether you’re analyzing sports data, financial markets, or electric engine performance, you can apply the data analysis skills you learn in this project to many other fields and applications. So, step up to the plate and take a swing at MATLAB for data analysis.

Skills you will develop

  • Data Analysis

  • Data Visualization (DataViz)

  • Matlab

  • Exploratory Data Analysis

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Import Baseball Data

  2. Calculate Career and Season Batting Statistics

  3. Calculate OPS and Clean the Tables

  4. Explore the Data

  5. Defining Great Hitters

  6. Exploring Career Trajectory

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

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You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.

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