Course Description

This course introduces the basics of data for AI, what kind of data is needed, how to access it, and how to work with it using practical tools such as SQL, Python, and data visualization libraries.

Through hands-on examples and step-by-step instruction, you’ll learn how to extract, query, and explore data from existing databases, set up a Python notebook environment, and use libraries like pandas and seaborn to manipulate and visualize data.

This course is ideal for learners with little to no experience in data management or Python, but who are planning to develop AI or machine learning applications in the future.

What you'll learn:

  • Why data is critical for AI applications

  • What kinds of data do AI systems require

  • How to extract and query relational data using SQL

  • How to set up Python notebooks for data analysis

  • How to use pandas to explore and clean tabular data

  • How to visualize data using seaborn


Note: This course is hosted on an external platform (TU Delft via edX). You will be redirected to their website to access the content.

The ILIAD Academy is not affiliated with TU Delft or edX, and any accounts, progress tracking, or certifications will be managed solely through their platform.



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