Curriculum & Schedule

During the Summer and Fall 2020 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.

Of the 7.2 CEUs required, you must have a minimum of 0.9 CEUs in each of the four tracks. Each course and seminar counts towards the requirements for one of the following four tracks:

  1. Data Engineering (0.9 CEUs required)
  2. Visual Analytics (0.9 CEUs required)
  3. Data Science and Machine Learning (0.9 CEUs required)
  4. Ethics and Leadership (0.9 CEUs required)

Each course is between 0.6 and 1.8 CEUs depending on the number of contact hours and seminars are all 0.3 CEUs.

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 2020
Interactive Visualizations Toolkit: D3 and Altair
 
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Sep 26 to Oct 3, 2020
Elective Course Fall 2020
Image Classification and Object Detection
 
Elective Course Fall 2020
Seminar: How can financial services leverage AI and ML today?
 
Elective Course Fall 2020
Natural Language Understanding and its Applications
 
Elective Course Fall 2020
Introduction to AI and Deep Learning
 
Elective Course Fall 2020
Time Series Analyses and Databases
 
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Oct 17 to Oct 24, 2020
Elective Course Fall 2020
Diagnostics for More Informed Machine Learning
 
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Oct 31 to Nov 7, 2020
Elective Course Fall 2020
Data Warehouses & ETLs
 
Section 001Status: Open
Format: Flex Learning
Fri 6:30 PM - 9:30 PM
Nov 13 to Nov 20, 2020
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Nov 14 to Nov 21, 2020
Elective Course Fall 2020
Machine Learning Creativity
 
Section 001Status: Open
Format: Flex Learning
Sat 9:00 AM - 4:00 PM
Dec 5, 2020