Data Science Tutorials

Learn how to build a semantic layer with dbt, turning raw data into consistent metrics for analytics and BI tools!

Discover the importance of multilevel modeling in analyzing hierarchical data structures. Learn how to account for variability within and between groups using fixed and random effects. Apply these concepts to uncover deeper insights in fields like education, healthcare, and social sciences.

Learn about Mistral's Codestral 25.01, including its capabilities, benchmarks, and how to set it up in VS Code for code assistance.

Learn how first normal form (1NF) can improve your database design by enforcing atomicity in your tables.

Learn about Python abstract classes, their purpose, and how to use the `abc` module to enforce consistent interfaces. Includes practical examples and best practices for effective implementation.

Discover how to get started with AWS MSK, a managed Kafka service, in this beginner-friendly guide packed with practical tips and a comparison of top alternatives.

Discover the importance of dimensionality reduction, its techniques, and how to apply them to image datasets while visualizing and comparing data in lower-dimensional spaces.

Learn about GitOps, its importance, various approaches, and how to integrate it into an AI project.

Discover how the Fibonacci sequence works. Explore its mathematical properties and real-world applications.

Learn how to simplify the creation of AI agents with Hugging Face's new Python library, smolagents, and follow along with a demo project to see it in action.

Learn what OpenAI's ChatGPT tasks are, how to use them, and discover 10 practical use cases to automate and schedule your actions.

Discover how to master SQL subqueries to enhance your database queries. Learn about correlated, non-correlated, and recursive subqueries. Learn about execution order and how to combine SQL subqueries with other SQL features.