Top Courses at Georgetown School of Continuing Studies

Find the perfect course for you at Georgetown School of Continuing Studies. We’ve selected 8 of Georgetown School of Continuing Studies’s most popular courses. View the full course catalog at scs.georgetown.edu

  • Data Analytics Bootcamp

    In this comprehensive data analytics program, students will learn the technical and analytical skills they need to turn data into actionable insights. This 12-week program combines on-campus classes with online coursework for busy professionals looking to advance their skills outside of work hours. This course covers programming tools for data analysis and visualization, data analysis for decision-making, communication of results, statistical analysis, and more.

    Locations:
    • Washington, D.C.
    • $6,995
    • 12 Weeks, 4 hr/wk
    • Weekends
    • Beginner
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  • Digital Marketing Strategy Bootcamp

    In this comprehensive digital marketing program, students will learn the skills they need to succeed in the digital age. Participants will understand the full digital marketing landscape and learn the tools they need to drive impact with digital marketing. This course blends online and on-campus learning for professionals looking to learn outside of regular work hours. This program includes career development coaching, project work, and a certificate to show prospective employers. Topics include multi-channel marketing strategies, digital tactics to business growth, measurability of digital marketing, and presentation skills.

    Locations:
    • Washington, D.C.
    • $4,995
    • 12 Weeks, 4 hr/wk
    • Weekends
    • Beginner
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  • Python Basics for Data Analysis

    This course on data analysis with Python offers a comprehensive introduction to this general-purpose programming language. The purpose of this course is to get students started using Python’s most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and MatPlotLib to calculate descriptive statistics, work with alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

    Locations:
    • Washington, D.C.
    • $495
    • 12 Hours
    • Weekends
    • Beginner
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  • Data Analysis II: Machine Learning

    This course is an introduction to Machine Learning with Scikit-Learn. The curriculum will explore several clustering, classification, and regression algorithms commonly used for machine learning tasks and learn how to implement these tasks with our data using Scikit-Learn and Python. Students will learn how to structure machine learning models. This course is part of the school’s Certificate in Data Science program.

    Locations:
    • Washington, D.C.
    • $1,249
    • 18 Hours
    • Weekends
    • Advanced
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  • Financial Modeling

    This course in financial modeling teaches current best practices in data analysis and financial modeling. Students will learn to create financial models across various industries, using Excel. This course will also prepare students to build their own interactive financial models.

    Locations:
    • Washington, D.C.
    • $1,055
    • 18 Hours
    • Weekends
    • Intermediate
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  • Product Management

    This course in product management teaches the fundamental skills needed for product development. Students will learn concepts of Agile, Kanban, DevOps, and Human Centered Design. They will acquire the skills needed to lead teams through prototyping, testing, and iteration, with a focus on continuous improvement.

    Locations:
    • Washington, D.C.
    • $2,995
    • 21 Hours
    • Weekdays
    • Beginner
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  • Principles of Finance

    This course on the principles of finance teaches core financial concepts such as Time Value of Money, risk-return, and diversification. Students will learn how to apply these concepts and use them for resource and capital allocation decision making. They will know how to identify risk, and analyze projects based on risk measurement tools.

    Locations:
    • Washington, D.C.
    • $1,055
    • 18 Hours
    • Evenings or Weekends
    • Beginner
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  • Certificate in Data Science

    This data science certification course teaches students the fundamentals of data science. The programs explores data sources and storage, ingestion & wrangling, statistics, machine learning, visual analytics, and much more. The program culminates in a capstone project which serves as a professional portfolio artifact.

    Locations:
    • Washington, D.C.
    • $6,760
    • 108 Hours
    • See provider
    • Beginner
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