Data Analytics Sprint

Introduces Philadelphia youth to the world of data science

FirstHand lab

Data Analytics Sprint

Data is everywhere!

In this program, students learn how to make sense of it from TikTok trends to healthcare breakthroughs. Through hands-on activities, they will collect, clean, and analyze real data, create charts and dashboards using Google Sheets and Tableau, and tell stories that bring numbers to life. By the end, students will know how data drives decisions in sports, business, healthcare, and beyond, and they’ll build skills that open doors to future careers in data science, technology, and STEM.

2 Week Course starting July 13

Mon - Thurs, 10:00AM - 1:00PM

Apply now

Curriculum Collaborator

CHOP

Skills & Topics

Making decisions and communicating ideas using data, data bias, using Microsoft Excel and databases, organizing, and collecting, data visualization, correlations, open API’s.

Careers highlighted

Data Scientist, Data Analyst

Student fit

This program is a great fit for any student who is curious how to answer big questions using evidence or wants to know how to use data (numbers) to explore the world around them.

Mentor fit

This program is a great fit for any professional who has worked in the Data Science, Data Analytics, and/or Computer Science fields.

FirstHand Sprints are collaborations between industry mentors and FirstHand.

Each curriculum is co-designed and co-delivered by the mentors and the FirstHand team to reflect the skills and topics of the emerging industry while centering the needs of Philadelphia students. Sprints range from 16-36 hours of instruction time, occurring outside of regular school hours.

How to participate:

  • Students are selected through an application process
  • Open to all Philadelphia high school students

Why you should participate:

  • Sprints are FREE and participating students will earn a stipend!
  • Sprints offer an opportunity for high school students to connect with credentials and internships.

Questions?

Student projects