Advanced Python for Data Analysis

While it is possible to undertake data analysis with standard Python, its tools and libraries make it much easier and more streamlined: Pandas, which is shorthand for Python Data Analysis, is a fast, powerful, flexible, and easy to use open source data analysis and manipulation tool built on top of the Python programming language; JupyterLab, for writing code and experimentation; NumPy for numerical analysis; pandas for data analysis; and matplotlib, for data visualization. Together, they form the foundation of Python-based data analysis and they are the subject of this professional certificate program.

Upon successful completion of this certificate, participants will be able to:

• Import data from files, websites, and databases;
• Use the DataFrame to manipulate and organize data;
• Summarize data using statistical and mathematical functions from NumPy;
• Clean data by using type changes and string replacement;
• Handle missing data;
• Organize data using group and filter; and
• Perform data visualizations using Matplotlib.

Participants are expected to have basic experience with Python or SQL.

Meet Your Instructor

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Georgia von Minden is an experienced data scientist with a foundation in mathematics, programming, and education. She focuses on leveraging modern machine learning and statistical methods to support data-driven decision-making within organizations serving marginalized communities. At the ACLU of Northern California, Georgia contributed to casework involving Fourth Amendment violations, developing data pipelines, analyzing behavioral patterns in unstructured data, and producing visualizations that informed attorneys and cross-functional teams. She holds a Master’s in Data Science and a Bachelor’s in Mathematics.

Details

Dates: Oct. 27 - Dec. 15, 2026
Schedule: Wednesdays from 6-9pm
Location: Online 
Instructor: Georgia von Minden
Continuing Education Units: 2  
Cost: $1195 - $795 USF Alumni - $395 USF Students