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R vs Python for Data Analytics: A Comparative Walkthrough

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R vs Python for Data Analytics: A Comparative Walkthrough

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Ebuwa Evbuoma-Fike is a Senior Data Scientist with over 8 years of experience driving impactful data-driven solutions in healthcare and civic tech. Passionate about improving health outcomes, especially for underserved communities, she excels in developing and implementing sophisticated data analyses, from complex machine learning models to insightful reporting.

She has a proven track record of success in both the public and private sectors, collaborating seamlessly with cross-functional teams to address critical challenges and optimize operational efficiency. Her expertise spans data engineering, predictive modeling, and translating complex technical insights into actionable strategies for leadership.

This workshop will introduce R users to the Python ecosystem for everyday data analysis tasks. We'll explore core Python concepts and libraries, comparing them to familiar R tools. You'll learn how to perform common data analysis operations in Python, such as data manipulation, exploratory data analysis (EDA), and data visualization. This hands-on session will provide you with a solid foundation to start using Python for your routine data analysis needs, expanding your analytical toolkit.

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Brown School
Washington University in St. Louis, Goldfarb Hall 132 · St. Louis, mo