Course: Prompt Engineering in Generative AI for Data Science

This skill is crucial in the era of large language models and has become increasingly important across various industries. Participants will learn to harness these cutting-edge tools to enhance various aspects of the data science workflow, from data preprocessing to advanced analytics and visualization. This course improves your data visualization and business intelligence skills. Students will learn how to apply effective data visualization techniques using Python libraries such as Pandas, Matplotlib, and Seaborn Key Skills Learned: Python programming for data visualization, Time series visualization, Statistical visualization, and Interactive visualization.

Prompt Engineering in Generative AI for Data Science microcredential consists of learning modules. Content requires approximately 20 to 25 hours to complete. To successfully complete the microcredential and earn a digital badge, students must achieve a minimum passing score of 70%.

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