This program will be moving to a virtual format for the summer of 2020. Our faculty and program staff will ensure that the core and quality of the program will be maintained and that your courses will be interactive and engaging. All international students should review the Resources for International Students page for important eligibility information.
The virtual 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, online presentations from data science experts, and 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, 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.
This tuition has been updated to reflect the Summer 2020 term moving to a virtual experience.
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 virtual lectures, 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
It was amazing to be surrounded by such high caliber students and staff who were all encouraging and fabulous to work with. I took away many positive things from my week as a Summer Hoya.
The program offers so much–from the off-site visits to the daily lectures and the on campus activities. The lectures were interesting, meeting new people was great and the off-site visits were interactive and intriguing.
My #SummerHoya experience was enriching, inspiring, and rewarding; if I could turn back the clock, I’d do it all over again.
As I am filling out my college applications, I am able to think back to my memories from the summer and I am reassured that I am pursuing the right educational path.
Having the chance to experience once in a lifetime opportunities and getting to meet people from around the world made it so I got to really experience what college life was like.
Want to learn more?
Request information to find out the latest on the Summer Programs for High School Students.