This video was different than I expected. I expected to hear how the National Football League (NFL) is using player statistics for better player acquisition and fantasy football. However, the talk was about the NFL business model. The business model of the NFL focuses on filling stadiums. Thus the NFL starting collecting data about why fans prefer to watch games at home and what do fans really want from an NFL game. The NFL now generates numerous reports to help each individual team maximize the in-stadium experience.
Here are some of my thoughts on the talk.
- The NFL maybe needs to invest in a data visualization expert
- The NFL maybe needs to rethink the business model
This is a nice video discussing some good ideas when training data scientists. It does have an academic perspective.
Video: Big Data Summit – Training data scientists – 11 Jul 2012 – Computing News.
Thomas Thurston put together a very nice video about data science, its uses, and the possible impacts.
Data Science – Beyond Intuition from Thomas Thurston on Vimeo.
Daphne Koller of Coursera gives a very intriguing TedTalk. She even throws out some good data. The machine learning class would have to be taught on-campus for 250 years to reach the same amount of students enrolled in the online class last fall. Here are some other impressive numbers.
- 640,000 students
- 190 countries
- 1.5 million enrollments
- 6 million quizzes
- 14 million videos viewed
Those are some impressive numbers. Daphne also provided the following quote.
In many of our [online] courses, the median response time for a question on the question and answer forum was 22 minutes — which is not a level of service I have ever offered to my Stanford students.
Watch the video below. What coursera is doing is completely fascinating. In the second half of the video, she shows some examples of how Coursera is using data to improve education.
DJ Patil and Josh Elman, both of Greylock Partners, give an insightful talk at LeWeb London 2012. The most important part was the introduction of the Data Scientific Method.
Data Scientific Method
- Start with a Question
- Leverage your current data
- Create features and run tests
- Analyze the results and draw insights
- Let the data frame a conversation
Hans Rosling does it again. Hans may be the best storyteller of data on earth. He has a real gift of turning data into an exciting story. He also asks great questions and has some good wit. The whole goal of this TedTalk is to answer the following question.
Do women of certain religions have more babies?
A nice, short, 2 minute video from edCetra Training with some good facts about big data and data analysis.
- The digital universe is 10 times the size it was in 2006
- Greater literacy and cloud computing are helping fuel big data
- 80% of companies data is unstructured – difficult to analyze
- Employees spend 2 hours per day searching for the right information