Zurück zu Take a Swing at Baseball Analytics: Explore Player Careers
Bewertung und Feedback des Lernenden für Take a Swing at Baseball Analytics: Explore Player Careers von MathWorks
Ãœber den Kurs
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.
Top-Bewertungen
Filtern nach:
1 - 3 von 3 Bewertungen für Take a Swing at Baseball Analytics: Explore Player Careers
von David C
•16. Mai 2022
E​xcellent project: every task was well-prepared; discussion between Matt & Brandon was engaging and motivated the tasks, even though I know nothing about baseball. There was enough depth in the tasks to show the possibilities capable with Matlab.
von AYUSH D
•29. Juli 2022
This was really detailed and well explained by Brandon and Kata. I really loved how both of them gave great insights about the dataset that was provided.
von Deleted A
•25. Dez. 2021
Cannot even get started as Mathlabs wants a password but I never was given the opportunity to input one or given one.
Coursera Footer
© 2022 Coursera Inc. Alle Rechte vorbehalten.
