Data Science Tutorials

Master the `SEQUENCE()` function to supercharge your spreadsheet skills. Learn how to create dynamic lists, automate calculations, and unlock new Excel possibilities.

Discover how Microsoft’s fully managed, multi-model database delivers low-latency performance, elastic scalability, and real-time capabilities for AI, IoT, e-commerce, and more.

Understand how Amazon Neptune handles highly connected data using graph models like property graphs and RDF. Discover how to write queries in Gremlin, openCypher, and SPARQL for real-world tasks like fraud detection and recommendations.

A step-by-step tutorial on building, testing, deploying, and integrating a Gradio MCP server with Tavily, Hugging Face Spaces, Cursor AI and Claude Desktop.

Learn efficient PySpark filtering techniques with examples. Boost performance using predicate pushdown, partition pruning, and advanced filter functions.

Learn how to read CSV files efficiently in PySpark. Explore options, schema handling, compression, partitioning, and best practices for big data success.

Learn how to insert a check mark in Excel using symbols, shortcuts, formulas, and checkboxes. Discover formatting tips, automation tricks, and counting techniques for efficient spreadsheet tracking.

This tutorial teaches you how to confidently run Docker images using docker run, with clear examples, practical tips, and troubleshooting advice.

This comprehensive guide teaches you how to use git commit --amend to correct mistakes, add forgotten changes, and manage Git history.

Master Excel time formulas to calculate durations, handle time over 24 hours, and format time values for clear, accurate reporting.

Learn how to build AI agents using Mistral's Agents API, and explore key concepts like tool usage, connectors, handoffs, and more.

Understand how the law of large numbers supports statistical reasoning. See how it ensures consistency in averages over time and powers predictions in fields like sports, finance, and science.