The course offers the opportunity to work on real-time, industry relevant, hands-on projects in the following domains -
Healthcare : In the healthcare industry, predictors are useful when data insights are used to design effective interventions. Predictive analytics is also used in healthcare to mediate hospital readmissions.
Insurance : Predictive analytics has been greatly beneficial to insurance companies, according to the 2013 Insurance Predictive Modeling Survey. Analytics has been a boon to insurance companies, as they can now track, draw insights, and analyze the ongoing trends on the market.
Retail : Analytics will help organizations optimize On-Shelf availability, manage inventory, predict retail trends in specific geographies, analyze the effect of promotions on products, monitor the lifecycle of a product, and regulate production to avoid wastage. Past data helps paint an accurate picture of the various contributing factors that influence the retail industry.
Internet : Internet analytics is the collection, modeling, and analysis of user-data in large-scale online services, such as social networking, e-commerce, search, and advertisement. Specifically, we look at social & information networks, recommender systems, clustering and community detection, dimensionality reduction, stream computing, and online ad auctions.