Take a Swing at Baseball Analytics: Explore Player Careers

提供方
在此免費指導項目中,您將:

Calculate statistics on groups within large data sets

Create visualizations

Filter data to include only observations meeting criteria you define

在面試中展現此實踐經驗

3 hours
面向初學者
無需下載
分屏視頻
英語(English)
僅限桌面

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.

必備條件

Fan of baseball and familar with On-base plus Slugging (OPS)

您要培養的技能

  • Data Analysis

  • Data Visualization (DataViz)

  • Matlab

  • Exploratory Data Analysis

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。

指導項目授課教師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。

您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。

您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的授課教師會逐步為您提供指導。

是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。

您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有授課教師逐步指導您完成項目。