Data Science Tutorials

Learn how to calculate cumulative probabilities and probability density using NORM.DIST in Excel. Understand its syntax, key arguments, and real-world examples.

Learn how to evaluate your model’s accuracy using mean absolute error. Understand when and why to use MAE to make your data-driven decisions more reliable.

Learn easy but powerful ways you can use Qwen3-Coder locally.

Learn about how Snowflake Dynamic Tables can simplify your complicated and time-sensitive ETL processes by allowing Snowflake to manage refreshes.

Understand what an SQL primary key is and its function in database relationships and query performance in this technical tutorial.

Analyze the strength and direction of relationships between variables using built-in Excel tools.

Break down misleading trends to uncover what’s really going on in your data. Learn to identify confounders, segment your analysis, and avoid false conclusions caused by Simpson’s Paradox.

Explore the core principles, architectures, and tools behind modern cloud application development. We cover microservices, serverless computing, DevOps integration, and security strategies for building scalable, resilient, and cloud-native applications.

Learn a few querying techniques for nested documents and arrays within MongoDB.

Understand the key differences between SQL and PL/SQL, their ideal use cases, and practical tips for choosing the right tool for efficient database development.

Discover the math and meaning behind power laws. Learn how they model rare events, reveal scale-free patterns, and show up in everything from earthquakes to AI.

Learn how to install, set up, and run GPT-OSS locally with Ollama and build a simple Streamlit application.