MIT 15.071 The Analytics Edge, Spring 2017 2.4.2 R2. Moneyball in the NBA - Video 1: The Data
2.4.2 R2. Moneyball in the NBA - Video 1: The Data Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King Applying some of the ideas from Moneyball to data from the National Basketball Association (NBA).
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King Applying some of the ideas from Moneyball to data from the National Basketball Association (NBA).
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King Applying some of the ideas from Moneyball to data from the National Basketball Association (NBA).
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 2.4.2 R2. Moneyball in the NBA - Video 1: The Data.
- Understand how data frame fits into 2.4.2 R2. Moneyball in the NBA - Video 1: The Data.
- Understand how labeling notation fits into 2.4.2 R2. Moneyball in the NBA - Video 1: The Data.
- Understand how point scored fits into 2.4.2 R2. Moneyball in the NBA - Video 1: The Data.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King Applying some of the ideas from Moneyball to data from the National Basketball Association (NBA). License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 2.4.2 R2. Moneyball in the NBA - Video 1: The Data about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King Applying some of the ideas from Moneyball to data from the National Basketball Association (NBA).
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, data frame, labeling notation, point scored, season end.
What should I learn before 2.4.2 R2. Moneyball in the NBA - Video 1: The Data?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, data frame, labeling notation, point scored.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
Continue Learning
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
