While modern databases can contain massive volumes of data, researchers are confronted with a virtual obstacle course in order to extract meaningful predictive information from within these records.
During the two-day PACE Data Mining Boot Camp participants will receive the basic training to learn effective predictive analytic strategies associated with the growing discipline of data mining-a process that uses a variety of data analysis tools to discover patterns and relationships in data that may contribute to valid predictions. Predicting future trends and behaviors allows for proactive, knowledge-driven decisions.
The PACE Boot Camp is designed to provide individuals in business enterprises and scientific communities with improved tactics critical to design, build, verify, and test predictive data models. Data mining-the art and science of learning from data-covers a number of different procedures. This hands-on course emphasizes key learning techniques: classification, regression, association rules, and clustering.
During the hands-on sessions PACE instructors will help participants hone their new skills to conquer technical obstacles to achieve their objectives. Boot Camp participants will have access to a comprehensive set of data mining tools available on SDSC's Gordon, one of the world's most powerful supercomputers with 300 Terabytes of flash memory. Moreover, with access to this computing resource, participants will be able to sharpen their skills, apply data mining algorithms to real data, and interpret the results.
Attendees will leave the Data Mining Boot Camp with an arsenal of ideas and on a steady path to becoming a data scientist.
The Predictive Analytics Center of Excellence (PACE) strives to promote, educate, and innovate in the area of predictive analytics to enhance the social and economic wellbeing of the global population. Our objective is to develop and incite a new, multi-level curriculum that engages a broad spectrum of individuals from diverse educational and institutional backgrounds to explore the power of predictive analytics and to accelerate cooperation among government, industry and academia.
Registration fee is $1295. Seating is limited to 20 participants.