During the Fall 2020 and Spring 2021 semesters, professional development and certificate classes will be offered as Flex Learning experiences. These classes are taught in real-time by Georgetown instructors using Zoom video conferencing. Flex Learning classes are designed to provide our professional learners with a high-quality, engaging educational experience. For more information about Flex Learning, please contact Program Support at email@example.com.
To successfully complete the certificate you must take 7.2 Continuing Education Units (CEUs) or a total of 72 contact hours. Courses are open enrollment and you may take courses and seminars in any order you wish. All 7.2 CEUs must be completed within a two-year period.
Courses and seminars in the certificate are organized into four tracks so that professional learners can align their studies with their career goals. For the best possible certificate experience, we recommend balancing your course selection, keeping tracks in mind. The four tracks, along with a recommended balance of CEUs is as follows:
Data Engineering (0.9 CEUs recommended)
Visual Analytics (0.9 CEUs recommended)
Data Science and Machine Learning (1.2 CEUs recommended)
Ethics and Leadership (0.6 CEUs recommended)
Each course is between 0.6 and 1.8 CEUs depending on the number of contact hours and seminars are all 0.3 CEUs. Practically speaking, this balance of CEUs means one class each in Data Engineering, Visual Analytics, and Ethics and Leadership, two in Data Science, one additional elective course and two seminars.
This program is for data science practitioners and leaders who meet the following criteria:
Have completed data science and machine learning coursework such as Georgetown’s Certificate in Data Science or college or graduate level coursework
Are familiar with software programming in either Python or R
Can bring a laptop with administrative privileges for courses and workshops