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Course Description

Introduction to Data Science Academy| Course Description

 

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 Python. 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 computer that will access Google Drive, run Chrome browser, and run Zoom is necessary for this course. A precourse survey will be sent out and the project track will be determined by this survey.


How You’ll Benefit

 
  • Explore techniques for data collection, cleanup, analysis, and visualization

  • Learn the fundamentals of statistics

  • Listen to Data Science Ted Talks

  • Hear from guest speakers, including Georgetown faculty and technology experts

  • Understand coding languages

  • Create your own Data Science project from scratch and present it to the class

 

 

Program Format & Subject Areas*

As a student in the Introduction to Data Science Academy, you'll spend your day immersed in a blend of asynchronous lectures, guest speakers, hands-on exercises, and small group project time. 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 Python



 

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Enroll Now - Select a section to enroll in
Type
Online
Days
Su
Time
12:00PM to 6:00PM
Dates
Jun 12, 2022
Type
Class
Days
M, T, W, Th, F
Time
10:00AM to 12:00PM
Dates
Jun 13, 2022 to Jun 17, 2022
Type
Class
Days
M, T, W, Th, F
Time
2:00PM to 4:30PM
Dates
Jun 13, 2022 to Jun 17, 2022
Type
Class
Days
Sa
Time
10:00AM to 12:00PM
Dates
Jun 18, 2022
Location
Course Tuition
Instructors
Section Notes

Introduction to Data Science Academy - Virtual Format

Sunday, June 12th

Access to the course page in Canvas will be provided by 12 pm (noon) EST with the final schedule for the program. No live class sessions will be held on Sunday, June 12.

Monday, June 13th - Friday, June 17th

Students will have synchronous class sessions weekdays from 10 am - 12 pm and 2 pm - 4:30 pm EST. Additional, asynchronous academic activities will be posted to the course page.

Saturday, June 17th

Students will participate in Capstone presentations from 10 am - 12 pm EST. *

All admitted summer high school students must complete and submit Student Life Forms through the CampDoc platform for program participation. Access to this platform will be provided in the spring, and students should complete the forms promptly at that time. Please visit our Pre-Arrival Requirements page for more information.

*Class times listed here are not final, and are subject to change. The final schedule will be a combination of asynchronous and synchronous sessions on these dates and will be available in the course page on Canvas, which will be available to students by 12 PM EST on Sunday, June 12.

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