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Applied Data Science: Learning and Solving Problems Through Datathons
Pre-College Certificate
Data science is one of the fastest-growing fields, with 36% projected job growth over the next decade (U.S. Bureau of Labor Statistics). This program provides an engaging entry point into the field, equipping participants with essential skills for data analysis and problem-solving.
Who is this course designed for?
The Applied Data Science: Learning and Solving Problems Through Datathons certificate is an 8-session, in-person course designed for high school students eager to explore data science through real-world challenges. Hosted by the MS in Data Science program at the University of San Francisco, this beginner-friendly program provides hands-on experience with data science fundamentals using the globally recognized Women in Data Science (WiDS) Datathon as a learning framework.
Students will work with real datasets, develop essential analytical skills, and learn to communicate data-driven insights effectively. By the end of the program, participants will have completed a data science project, gained exposure to key machine learning concepts, and built a strong foundation for future studies or careers.
Jumping into tech as a high schooler can feel overwhelming—but we’re here to make it fun and accessible! No matter your coding experience, we welcome all skill levels. Join us to learn, create, and collaborate with fellow high school students. Whether you're just starting out or already a coding pro, there's a place for you.
WiDS San Francisco @ the USF Data Institute is independently organized by Diane Woodbridge, PhD to be part of the mission to increase participation of women in data science and to feature outstanding women doing outstanding work.
Why choose this certificate?
- Hands-On, Project-Based Learning – Apply concepts in real-world scenarios using actual datasets.
- WiDS Framework – Participate in a globally recognized data science challenge which provides a structured approach to solving real-world data problems.
- Tackle Real-World Problems – Address meaningful social and global issues through data. This years dataset will focus on Brain Health in association with ADHD
- Collaborate & Network – Connect with like-minded students, industry speakers and mentors.
- Kickstart a STEM Career – Build foundational skills for future data science studies.
Meet Your Instructor
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Diane Woodbridge is an associate professor in the MS in Data Science program at the University of San Francisco. Her research interests include scalable database management systems, data fusion, and machine learning focusing on remote health monitoring (IoT in Healthcare).
Program Structure
Format: In-person at the University of San Francisco Downtown Campus at 101 Howard Street
Recordings: Unavailable for this style of course
Schedule: June 16-26 - 8 sessions, Monday-Thursday, 4 days per week, 3 hours each (9:00 am - 12:00 pm)
Prerequisites: None—this course is beginner-friendly
Continuing Education Units: 2.5
Certificate Requirement: Attendance, participation, and completion of assignments
Cost: $1995 per person
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This program is ideal for high school students who:
- Are curious about data science and want a structured introduction.
- Enjoy solving problems through data-driven approaches.
- Want hands-on experience with real-world datasets and projects.
- Are interested in collaborative learning.
- Aspire to apply data science skills to their future studies and careers.
No prior coding or data science experience is required—just a passion for learning and problem-solving.
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- Understand the data science workflow from data collection to insights.
- Learn fundamental machine learning algorithms like regression and classification.
- Work with real-world datasets and solve practical problems.
- Develop data storytelling skills to present findings effectively.
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Session 1: Understanding Data & Project Brainstorming — Explore the data science process, define project goals, and get introduced to WiDS Datathon datasets.
Session 2: Data Visualization & Exploration — Visualize data to identify patterns in datasets.
Session 3: Data Preparation & Transformation — Clean and structure data for analysis using industry best practices.
Session 4: Introduction to Machine Learning — Discover key machine learning concepts and algorithms used in data science.
Session 5: Applying ML Algorithms to Data — Train and test machine learning models, evaluate results, and optimize performance.
Session 6: Data Science Storytelling — Learn to communicate insights effectively with reports, presentations, and data storytelling techniques.
Session 7: Final Presentations & Feedback — Present projects, receive feedback, and explore potential research opportunities with USF faculty.
Professional Certificates at the Data Institute
Proven Expertise
Since 2016, the Data Institute at the University of San Francisco has been a leader in delivering top-tier professional certificate programs. Backed by renowned faculty and industry experts, our programs are designed to empower professionals with the knowledge and skills to excel in their fields.
Cutting-Edge Curriculum
Stay ahead of industry trends with courses that focus on the most sought-after topics, including AI, data science, and graph neural networks. Our curriculum is continuously updated to reflect the latest advancements and best practices.
Hands-On Learning
Master practical skills by working on real-world projects, engaging in interactive instruction, and using state-of-the-art tools and techniques trusted by leading professionals.
Data Institute
101 Howard St. Suite 500
San Francisco, CA 94105
San Francisco, CA 94105
Hours
Mon-Fri, 9 a.m. - 5 p.m.