Mid-level professionals

Certificate Program
Gain the practical data science skills needed to address real-world problems using machine learning.
Apply Now Request InformationCertificate in Data Science
Georgetown’s Certificate in Data Science prepares you with the technical and analytical skills required to collect, clean, model, and present data. As a student, you’ll use the Python programming language and industry standard tools to help create and present data analytics, predictive models, and visualizations. Throughout the program, you’ll also hone your communications skills and learn strategies for effective data presentation.
Led by academics and professionals within the data science community, our program incorporates hands-on coursework as well as group work focused on real-world data science projects. By the time you complete the program, you’ll have the well-rounded expertise that enables you to tell powerful stories with data and create an impact on organizational decisions.
Ideal for: Mid-level professionals
Ideal forDuration: 8 courses over 6 months
Duration8 courses over 6 months
Tuition: $7,496
Tuition$7,496
Format: Flex Learning
FormatFlex Learning
Schedule: Friday evenings & Saturdays
ScheduleFriday evenings & Saturdays
Semester of Entry: Fall, spring, summer
Semester of EntryFall, spring, summer
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Upon successful completion of the certificate, you’ll be able to:
- Apply the data science pipeline to analytical workflows
- Express effective programming practices for analytics
- Utilize and query relational and NoSQL databases
- Ingest and wrangle data for deeper insights
- Organize statistical hypothesis testing and analysis
- Create predictive models that learn from data
- Visualize data and models to communicate solutions
- Explain the ethical implications of data science
Do you have limited or no programming experience? We recommend taking our Python Basics for Data Analysis and SQL Fundamentals courses before starting this certificate program.
Georgetown is a proud partner of District Data Labs, a data science research institute, data product incubator, and open source collaborative founded by two of our faculty members.