Prompt Engineering for Data Science - Learning Kit

Prompt Engineering for Data Science is designed to help data professionals use generative AI more effectively across real analytics and machine learning workflows. This training focuses on how structured prompting can support SQL generation, Python tasks, exploratory data analysis, model interpretation and more efficient technical problem-solving.

Based on the provided course content, the Learning Kit supports professionals who want to integrate LLMs into existing Python, R and SQL workflows in a more practical and controlled way. It is a strong fit for data scientists, data analysts, ML engineers, quantitative researchers and BI professionals working with increasingly complex datasets and reporting demands.

This product provides training only and does not include a certification exam voucher.

This Learning Kit supports professionals who want to combine strong data skills with modern AI workflow capabilities. It is especially useful for teams and individuals who want to reduce repetitive work, speed up analysis and improve communication around technical data findings.

The training is also relevant for organizations that want to build more efficient analytics capability across data science, BI and machine learning teams.

For organizations looking to train multiple employees, visit team training options.

You can also explore more AI-focused options in the Artificial Intelligence training collection.