• This class is for professionals with more than a few data science projects under their belt. Students in this course will learn state-of-the-art methods and more about the tools in optimizing big data operations.
• Students in this course should come in having experienced first-hand the challenges that come with finding data, cleaning it, and putting it to work. Students must have a sound understanding of the “real world” challenges that come along with scoping a project and building a model.

Booz Allen and Data Society will enforce the following criteria to receive a course completion certificate:

• Students will be required to attend at minimum 13 of the 16 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
• Capstone Projects will require a passing grade. For additional information/grading rubric criteria, please contact bah@datasociety.com