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Emergency Alert
UDC Operating Remotely on Friday, Jan. 30

The University of the District of Columbia’s academic and administrative offices will conduct business remotely on Friday, Jan. 30. All on-campus activities, including athletic-related activities, are cancelled.

Campuses will reopen on Monday, Feb. 2.

Staff: Contact your immediate supervisor with questions or for further instruction regarding remote work expectations. 

Faculty: Reach out to your immediate supervisor and/or the dean for questions and further instruction regarding the transition to emergency remote instruction (ERI).  The Center for the Advancement of Learning (CAL) is available to support faculty with instructional continuity, including support for Blackboard, Zoom, Webex and other teaching and learning technologies. 

CAL Faculty Support Resources

calhelpdesk@udc.edu 
Virtual Office Hours
Consultation Request Form

For learning technology tools and on-demand faculty resources, please visit CAL’s website.

Students: Due to inclement weather, the university will be closed to face-to-face operations. Instruction will be moved to emergency remote, including synchronous and asynchronous methods. Certain laboratory, clinical, and other hands-on classes for which in-person instruction is a requirement may necessitate a make-up lesson, but every effort will be made to pursue virtual learning to the extent possible. Where synchronous virtual instruction is intended, published class meeting times must be observed so that students’ schedules are not disrupted.

The safety and security of our students, faculty, staff, and the broader community remain our top priority. We will continue to provide updates regarding the status of the university’s academic and administrative offices as conditions change.

Please continue to check our website and social media channels for the latest information.

If you have any safety concerns, contact OPSEM at 202-274-5050. For all immediate emergencies, call 911.

Thank you for your continued dedication to our students and to UDC’s mission. 

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Data Science and Artificial Intelligence

Data Science and Artificial Intelligence

man working on a desktop computer

Prepare to obtain training in Python programming, machine learning, data analysis, automation and SQL. You will learn to build AI applications using APIs and frameworks, gaining hands-on experience in data cleaning, visualization and model development with tools like Pandas, NumPy and scikit-learn.

  • 260 Course Hours
  • Code GES3127
  • 9 Months
  • Open enrollment
  • Self-paced
  • Payment and Funding: Contact us at CCDC-CE@udc.edu or 202-274-5536

Please Note!

As part of the Talent Capital initiative, the cost for this course is waived for individuals who are furloughed, dislocated or unemployed workers in Washington, DC, Maryland and the Virginia capital region.

Learn more about the talent capital initiative

Overview

This intensive data science and artificial intelligence course covers technical training in essential core competencies for entry-level data science roles, including SQL, Python and Python's data science libraries. The curriculum is intended to provide you with real-world training, so you acquire transferable skills that employers look for, like SQL querying, automation and data visualizations. The program also includes practical instruction in integrating AI models into web applications.

Through the practical exercises, you will gain valuable experience working to clean and visualize data, build machine learning models, develop dashboards using tools like Pandas, NumPy, scikit-learn and build AI-powered web applications using Flask and OpenAI. This beginner-friendly machine learning course features capstone projects and practical assignments that prepare you for roles in data analytics, machine learning engineering and AI.

The curriculum goes beyond basic data analytics by introducing you to back-end development and API integration using Python-based frameworks. You will learn to design and style user-facing web forms, make requests to AI platforms and incorporate error handling into your applications. Upon completion of this artificial intelligence and data science course, you will be proficient in Python development tools and capable of building interactive, AI-enhanced web tools.

What You Will Learn

  • Study fundamental Python programming concepts like how to use its core data science libraries like NumPy and Pandas, read and write database queries and automate routine data tasks.
  • Develop applications with AI that combine OpenAI's API into tools using Flask and HTML.
  • Work with data to create machine learning models and study their performance.
  • Use Python libraries like Seaborn, Dash and Matplotlib to create dashboards and visualizations.
  • Learn how to structure API calls and render outputs in web-based applications using Python.
  • Explore PostgreSQL fundamental concepts, such as querying databases, applying aggregate functions, working with subqueries and using joins to establish data relationships and merge the information contained in multiple tables.

How You Will Benefit

  • Gain the practical training necessary to understand data science workflows and transition into machine learning.
  • Benefit from exploring how major companies like Spotify, Netflix and Amazon leverage machine learning to tackle real-world problems.
  • Complete three final capstone projects in machine learning, artificial intelligence and Python data visualization.
  • Understand how to publish completed projects to platforms like GitHub or Heroku to showcase your expertise to prospective.

Student Resources

Registration and Enrollment

Enroll Now!

Contact Us

For more information about the Continuing and Professional Education programs at UDC and to enroll in our in-person courses, contact us today. We are excited to help you take the next step!

Beverly Lucas

Director of Continuing and Professional Education
202-274-7430
beverly.lucas@udc.edu

Eddie J. Williams

Project Assistant
202-274-5536
ejwilliams@udc.edu

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