Cloudera Data Science Challenge
Your task is to analyze a large amount of data from Medicare and try to detect abnormal data -- providers, areas, or patients with unusual procedures and/or claims. Challenge starts March 31, 2014.
The new Data Science Challenge:
Detecting Anomalies in Medicare Claims
will be available starting March 31, 2014,
and will cost USD $600.
In the U.S., Medicare reimburses private providers for medical procedures performed for covered individuals. As such, it needs to verify that the type of procedures performed and the cost of those procedures are consistent and reasonable. Finally, it needs to detect possible errors or fraud in claims for reimbursement from providers. You have been hired to analyze a large amount of data from Medicare and try to detect abnormal data -- providers, areas, or patients with unusual procedures and/or claims.
Build a Winning Model
CCP candidates compete against each other and against a benchmark set by a committee including some of the world's elite data scientists. Participants who surpass evaluation benchmarks receive the CCP: Data Scientist credential.
Those with the highest scores from each Challenge will have an opportunity to share their solutions and promote their work on cloudera.com and via press and social media outlets. All candidates retain the full rights to their own work and may leverage their models outside of the Challenge as they choose.
Register for the Challenge at: http://cloudera.com/content/cloudera/en/training/certification/ccp-ds/challenge.html