03 Dec 12-12:45pm ET
Knowledge @ Noon: A New Career in the New Year  

Curriculum & Schedule

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 pdcprograms@georgetown.edu.

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:

  1. Data Engineering (0.9 CEUs recommended)
  2. Visual Analytics (0.9 CEUs recommended)
  3. Data Science and Machine Learning (1.2 CEUs recommended)
  4. 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.

Program Prerequisites

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

Course Schedule

Course Name Semester and Section
Elective Course Courses  Fall 2020Spring 2021
Interactive Visualizations Toolkit: D3 and Altair
   
Elective Course Fall 2020Spring 2021
Image Classification and Object Detection
   
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Apr 24 to May 1, 2021
Elective Course Fall 2020Spring 2021
Seminar: How can financial services leverage AI and ML today?
   
Elective Course Fall 2020Spring 2021
Natural Language Understanding and its Applications
   
Elective Course Fall 2020Spring 2021
Introduction to AI and Deep Learning
   
Section 001Status: Open
Format: Flex Learning
Fri 6:30 PM - 9:30 PM
Mar 12 to Mar 19, 2021
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Mar 13 to Mar 20, 2021
Elective Course Fall 2020Spring 2021
Time Series Analyses and Databases
   
Elective Course Fall 2020Spring 2021
Diagnostics for More Informed Machine Learning
   
Elective Course Fall 2020Spring 2021
Data Warehouses & ETLs
   
Elective Course Fall 2020Spring 2021
Machine Learning Creativity
 
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Dec 5, 2020
 
Elective Course Fall 2020Spring 2021
Managing Unstructured Data Storage with ElasticSearch
   
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Feb 20, 2021
Elective Course Fall 2020Spring 2021
Machine Translation & Neural Language Models
   
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Apr 10 to Apr 17, 2021