Take a Swing at Baseball Analytics: Explore Player Careers

提供方
MathWorks
在此指导项目中,您将:

Calculate statistics on groups within large data sets

Create visualizations

Filter data to include only observations meeting criteria you define

Clock3 hours
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • Data Analysis
  • Data Visualization (DataViz)
  • Matlab
  • Exploratory Data Analysis

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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