This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. The extensive labs throughout provide many opportunities for students to apply these methods and tools to real-world business challenges as a practicing Data Scientist. The course takes an "Open," or technology-neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven Professional Data Scientist Associate (EMCDSA) certification exam, and establishes
a baseline of Data Science skills that can be enhanced with additional training and further real-world experience.

Prerequisites: Familiarity with statistics; experience with a scripting language; experience with SQL.

For travel assistance information, please visit http://batec.org/summer_institute_2013/classesdisplay.php