FlexEd Deferred Direct Bill Payment Option

• Students applying for this course should have demonstrable experience using Python to manipulate and visualize data and feel comfortable learning new packages and interpreting new code snippets.
• Applicants should have a background of building and assessing the performance metrics of basic classification models and are looking to expand on this skillset.
• This course is for professionals ready to take learning from the classroom to the “real world.” Students in this course understand that working with applied/live datasets can present challenges that don’t exist in a controlled learning environment.

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