Bentley's Data Analytics course is a week-long pre-college program for high school students and offers a unique opportunity to explore the vast potential of data and gain insights into the world of data sciences. Through engaging with guest speakers and hands-on learning, students can develop practical skills and knowledge while working on a capstone project, allowing them to apply their newfound abilities in a real-world setting.
The program's emphasis on creating a fun and positive learning experience ensures that students not only acquire valuable data analytics skills but also enjoy the journey of discovery and exploration. See what college life is all about while building valuable skills (and your resume). Explore the power of data and challenge yourself in a supportive, fun environment.
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Who
High school students who understand the power of data and want to learn more about the role it plays in all aspects of our lives
When
This course is offered the following weeks:
June 15 to 19
June 22 to 26
July 13 to 17
Where
Bentley’s beautiful campus located just outside Boston with access to cutting-edge tech labs and a vibrant college environment
Data Analytics Schedule
Monday
Morning
Type of Data and How to Summarize Them
Early Afternoon Session
Working with Data in Tableau
Late Afternoon Session
Guest Lecture and Case Study
Tuesday
Morning
Visualizing Data
Early Afternoon Session
Fun with graphs in Tableau
Late Afternoon Session
Start of Capstone Project
Wednesday
Morning
Pitfalls to avoid with data
Early Afternoon Session
Ethical uses of Data
Late Afternoon Session
Guest Lecture and Capstone Project
Thursday
Morning
Careers in Data Science
Early Afternoon Session
Storytelling with Data
Late Afternoon Session
Guest lecture and capstone project
Friday
Morning
Capstone project work
Early Afternoon Session
Capstone Project critique and adjustments
Late Afternoon Session
Final Project Presentations
Faculty
Greg Vaughan
Teaching Interests: Introductory Statistics, Regression, and Data Analytics
Eddie Kim
Teaching Interests: Data science, statistical methods
Luke Cherveny
Teaching Interests: Teaching interests spanning mathematics, statistics, and data science.