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Python for Data Analysis
Learn to solve data-related problems by developing and testing Python code and scripts. Unlock data's full potential and learn to harness Python for data analysis and decision-making.
This course covers data manipulation, visualization, and statistical techniques, providing you with the skills to turn complex data into actionable insights. Ideal for those looking to enhance their data-driven abilities and advance in the rapidly growing data science field. Whether you’re a beginner or looking to refine your programming skills, this course provides a comprehensive introduction to Python’s core features, programming patterns, and development tools like JupyterLab.
Designed with You in Mind
This course is perfect for beginners, offering hands-on learning with real-world datasets.
- No Prior Python Experience Required
This course is designed for beginners, guiding you through Python basics. - Hands-On Learning
Gain practical experience with real-world datasets, learning how to manipulate, analyze, and visualize data. - Leverage LeetCode
Use LeetCode problems to strengthen your Python programming and problem-solving skills. - Career-Ready Skills
Develop the essential skills needed to make data-driven decisions and improve business outcomes. - Live, Interactive Sessions
Participate in live, instructor-led sessions for real-time learning and collaboration. - Relevant for All
Whether you're transitioning to data science or enhancing your current skill set, this course provides the foundation for success.
Meet Your Instructor
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Yannet is an associate professor in the Master’s in Data Science program, and her research interests lie in the application of machine learning and deep learning to medical data. She holds a PhD in applied mathematics from Cornell University and a BS in mathematics from the University of Havana, Cuba.
Course Information
Schedule: Mondays, March 20 - May 1, 2025, 10 AM to 1 PM
Format: This is a 7-week online program, held one day per week. The instructor-led sessions are conducted live via Zoom.
Time Commitment: Expect 5-7 hours per week, including live sessions (3 hours), assignments, and projects.
Recordings: Participants will have access to recorded sessions and resources.
Prerequisites: Introductory level course, no previous experience with Python required.
Continuing Education Units: 2
Cost: $1195, $795 for USF alumni, $295 for USF students
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
San Francisco, CA 94105
Mon-Fri, 9 a.m. - 5 p.m.