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The Introduction to Data Science Academy offers an inside look at the professional world of data science through the eyes of experts in the field. Through a combination of coding exercises, presentations from data science experts, and class discussions, you’ll be introduced to contemporary data science resources and best practices. You’ll have the opportunity to explore the processes of data collection and analysis, gain hands-on practice with statistical analysis and coding languages, and learn about the main elements of programming in R. By the end of the program, you’ll understand key concepts like how to wrangle data, how to visualize data, how to present your conclusions, and how to arrive at those conclusions.

Please note: A Mac- or Windows-based laptop is required to participate in this program. Chromebooks are not allowed.

Estimated Tuition:


Includes tuition, housing, and meals


Learn more about commuter options.

How You'll Benefit

  • Explore techniques for data collection, cleanup, analysis, and visualization
  • Learn the fundamentals of statistics
  • Take a tour of Microsoft Technology Centers
  • Hear from guest speakers, including Georgetown faculty and technology experts
  • Understand coding languages
  • Create a GitHub repository and learn how to fork and make pull requests

Program Format & Subject Areas

As a student in the Introduction to Data Science Academy, you'll spend your day immersed in a blend of classroom lectures, field trips, hands-on activities, and group discussions. Throughout the course of the week, you'll have the opportunity to explore the following subject areas:

  • Identifying data sources
  • Basic statistical analysis techniques
  • Cleaning and analyzing data
  • Introduction to data visualization and how to create interactive visualizations
  • How data scientists collect data in a broad spectrum of fields
  • Presenting data analysis and interactive visualizations
  • The main elements of basic programming in R

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