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Data Science and Artificial Intelligencc

Data Science and Artificial Intelligence

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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!

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.

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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