Python & AI for Data Analysis
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Understanding fundamental AI and ML concepts, terminology, and the machine learning workflow.
This ten-session experiential learning workshop is designed for students/staff/postdocs across all disciplines who aim to develop foundational and advanced competencies in data analysis using Python and Artificial Intelligence (AI) tools. In an era where data is pivotal to research and innovation, this series empowers participants to harness the capabilities of Python—a versatile and widely adopted programming language—for effective data manipulation, insightful visualization, and robust statistical analysis (McKinney, 2023; VanderPlas, 2016). The curriculum progressively introduces core data science libraries like Pandas, NumPy, Matplotlib, and Scikit-learn, ensuring a solid understanding of the entire data analysis workflow.
Beyond traditional methods, the workshop delves into the transformative potential of AI, demystifying machine learning concepts and providing hands-on experience with predictive modeling. A unique aspect of this series is the integration of modern AI tools, including an introduction to leveraging Large Language Models (LLMs) to augment analytical tasks, such as data cleaning, insight generation, and even assisting in code development.