Node Lite
Learn the basics of data science by analyzing and visualizing data in Python
Meets Sundays, 1-3pm
Practice modern skills and learn from the data around you
In Node, you'll learn the art and science of understanding, manipulating, and effectively using data. You'll also learn how to visualize your data and findings to share with those around you. This course is designed for students with 0 programming experience — if you have taken at least CS 1110 and/or you're loosely comfortable with basic coding concepts, you should check out Node.
Use data to answer complex questions
Through the use of real-world data, including some from the City of Charlottesville, students will be able to create impactful and insight-driven projects. We'll explore the context of our data as well as the implications it has for the people it affects. Students will also be given the tools to connect data science with their other interests.
Explore a field that's changing the tech landscape/industry
The amount of data available to us is growing rapidly, and doesn't show any signs of slowing down soon. The breadth of data available to us allows for the exploration and connection with any field ⁠— wherever your interests lie, there is something to be learned from the field of data science.
Skills You'll Learn
CS Foundations
Data Cleaning & Analytics
Data Visualization
Meet Your Program Leads
Carter Bristow
HackCville Member Since 2019
Linkedin Profile
Membership Perks
Once you successfully complete your first Skills Course you are granted HackCville membership. Here are the perks you get access to as a member.
10 weeks of hands-on skills training
Priority applications for Launch summer program and trips
Early registration and discount on all Crash Courses
Exclusive community events and job opportunities
Fees & Accessibility
Course Fee: $125 $95
Each of our courses is just $125 $95 — that's less than a weekly lunch out for the semester. We've dropped the price for Fall 2020 to ensure our courses remain accessible to all in these challenging times, and to reflect that we know online courses aren't the same as being in-person.

We are committed to making our courses accessible to all. We reduce or eliminate the program fee to all students who need it, no questions asked. Our aim is to enable everyone who wants to learn and join the HackCville community.

We think you'll love HackCville, but if you decide you need to drop, you may request a refund within 10 days of your course's first workshop meeting time. You'll receive a full refund, less a $20 operations fee. Beyond this date, no refunds will be given.
Meeting Times
All of our courses meet once a week for 2 hours. Courses start the fourth week of UVA classes (September 13) and continue weekly until Thanksgiving. Courses expect a 4-6 hour/week commitment.

Outside of the 2 hours in your workshop meeting time, you can expect to meet with your instructor weekly for labs (at flexible times) and to spend some time working with your classmates on projects.

We know how to do online teaching right.Our Skills Courses will be all-online for the foreseeable future to protect the health of our students and instructors. Teaching online is not new for us - we know how to make online courses fun, engaging, and interactive. (We know you can't just film a traditional lecture and hope for the best.)

We've modified our curriculum and drastically changed our instructor training to ensure every student has an awesome experience. We've also dropped our course tuition by nearly 30% because we know online learning still isn't the same as being in-person.

We offer one section of Node Lite:
Section A – Sundays, 1-3 PM

This course is designed for students with 0 programming experience — if you have taken at least CS 1110 and/or you're loosely comfortable with basic coding concepts, you should check out Node. Node has different meeting times.
Liza Arnold
Node Lite opened up my eyes to the world of data. I feel more interested in how data can work in conjunction with marketing.
John Schindler
Node Lite instructors care about answering your questions, and the course has made me more interested in a quantitative career.