Applied Predictive Analytics Training with Statistics.com
Learn inside tricks and methods in a new online training course developed by CrowdAnalytix (a Kaggle competitor), in partnership with Statistics.com, the leading provider of online education in statistics and analytics.
Have you submitted a model recently to the CrowdANALYTIX leaderboard? How did it do? Learn inside tricks and methods in a new online training course we have developed in partnership with Statistics.com, the leading provider of online education in statistics and analytics.
Applied Predictive Analytics,
Aug 23 – Sep 20, 2013
This is a fully practical and applied course – you should have some familiarity with predictive modeling before taking it. In part 1 of this course, you will get some hands-on experience with real-world data and the issues of problem definition and data prep. In Part 2 you will take a defined dataset, develop models, assess them, and submit your best model. Your instructor will serve as your personal guide in this effort.
CrowdANALYTIX has years of experience working with Fortune 500 clients, doing just what you’ll be doing in this course. You’ll get an informed view of the predictive modeling process in the corporate consulting world, and preparation for entering that world yourself. Statistics.com has been providing online courses and certificate programs in statistics for over a decade, and now offers over 110 courses.
The contest winner will, of course, be recognized, but all who successfully complete the course will receive appropriate recognition.
The instructor, Mr. Mohan Singh, is a senior data scientist at CrowdANALYTIX with extensive research experience in healthcare and imaging. He has taught data mining & computer science at University College Dublin and UC, Irvine. Participants can ask questions and exchange comments with Mr. Singh via a private discussion board throughout the period.
The course takes place online at Statistics.com and CrowdANALYTIX in a series of 4 weekly lessons and assignments, and requires about 15 hours per week. Participate at you own convenience; there are no set hours when you are required to be online.