Day 36 – Predictive Analytics – class videos
$100m Medicare Fraud – CNN (http://www.youtube.com/watch?v=xF9DJgGeT3o)
Dehumanising Human Resources – The Economist (http://www.economist.com/blogs/schumpeter/2013/04/big-data-and-hiring)
Obama’s Win – Data Mining – CNN (http://www.youtube.com/watch?v=Eo_oSwZL8AE)
Retailers’ Predictions – The New York Times (http://www.nytimes.com/video/magazine/100000001367956/timescast–retailers-predictions.html)
Predictive Policing – NBC News (http://www.nbcnews.com/video/nightly-news/44214509)
In-Class Exercise on Wed, Apr 15 – Predictive Analytics with Tableau
Day 36 – Predictive Analytics – class slides
Reading Assignment for Day 36 (Apr 13)
Big Data Knows When You’re Going to Quit Your Job Before You Do – Bloomberg (http://www.bloomberg.com/news/2014-12-29/big-data-knows-when-you-re-going-to-quit-your-job-before-you-do.html)
Day 34 – Beyond Numbers – class videos
Google Flu Trends Overview – Google.org (https://www.youtube.com/watch?v=6111nS66Dpk)
How Good Is Facebook’s Facial Recognition – BuzzFeed (https://www.youtube.com/watch?v=l4Rn38_vrLQ)
Sentiment Analysis – LiveHelpNow (https://www.youtube.com/watch?v=N5mE-LzIKCI)
In-Class Exercise on Fri, Apr 10 – Sentiment Analysis Using Excel
Online discussion questions – Day 34 (Apr 8) – Beyond Numbers
- Any examples of sarcastic tweets or reviews for a company that is not straightforward to interpret as positive or negative?
- Any other examples of analysis of unstructured data?
- Any data source for sentiment analyses other than Twitter or Yelp?
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