
March 27, 2025
Sarah Wolberg
The University of Pennsylvania's College of Liberal and Professional Studies
and School of Engineering and Applied Science in collaboration with edX

proudly recognize
for completion of the Penn Data Science Boot Camp
Academic Director, Penn Boot Camps Professor, Computer and Information Science School of Engineering and Applied Science
Andreas Haeberlen
Academic Director, Penn Boot Camps
Arifa Hasan Ahmad and Nada Al Shoaibi Presidential Professor of Physics and Astronomy, School of Arts and Sciences
Masao Sako
Boon Thau Loo
RCA Professor, Associate Dean for Graduate Programs School of Engineering and Applied Science
Nora E. Lewis
Vice Dean, Professional and Liberal Education
School of Arts and Sciences
September 2024 Penn Data Science Boot Camp in collaboration with edX
Sarah Wolberg
Through the Penn Data Boot Camp, participants learn from skilled instructors and gain real-world experience by collaborating with peers on complex projects. Participants also have the opportunity to build a comprehensive portfolio along the way.
Earners of this certificate:
-Gained deep proficiencies with core Python, data analytic tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests and Beautiful Soup
-Organized data into well-structured and easily retrievable data formats using PostgreSQL and MongoDB
-Created new, interactive data visualizations to share on the web with core technologies of web development (HTML, CSS, and JavaScript)
The curriculum covered the foundational skills for data science, including:
Intermediate Excel
-Pivot tables
-VBA scripting
Fundamental statistics
-Modeling
-Forecasting
Python Programming
-Python 3
-NumPy
-SciPy
-Pandas
-Matplotlib
-API interactions
Databases
-PostgreSQL/pgAdmin
-MongoDB
-Extract, Transform, Load (ETL)
Front end web visualization
-HTML
-CSS
-Bootstrap
-Dashboarding
-JavaScript charting
-Geomapping with Leaflet.js
Business intelligence software
-Tableau
Advanced topics
-Data ethics
-Big data analytics with Hadoop
-Supervised machine learning
-Unsupervised machine learning
-Deep learning
Browse the full curriculum: https://bootcamp.sas.upenn.edu/data/curriculum/
Skills / Knowledge
- Microsoft Excel
- VBA script
- Statistical Analysis
- Python
- APIs
- NumPy
- SciPy
- Pandas
- Matplotlib
- SQL
- PostgreSQL
- MongoDB
- ETL Process
- HTML
- CSS
- JavaScript charting
- Tableau
- Machine Learning
- Data ethics
- Hadoop
- Leaflet
Issued on
March 27, 2025
Expires on
Does not expire
Earning Criteria
Required
Attendance of 90% of program contact hours
90% completion of homework assignments
Completion of the following: 24-week program, with 4 individual & group projects