Data Science Tutorials

Learn how to add checkboxes in Excel for interactive to-do lists, trackers, and dashboards. This guide covers native and legacy methods, formulas, and conditional formatting.

Learn to calculate probabilities for multiple events, distinguish between AND and OR scenarios, and apply these concepts to real-world data analysis problems.

Learn how to install and use Pyright for static type checking in Python. This guide covers configuration, IDE integration, troubleshooting, and when to choose Pyright over Mypy.

Master authentication, role-based access control (RBAC), PoLP, TLS/SSL encryption, and CSFLE to build secure, performant NoSQL applications.

Understand what one-to-many relationships are, how they link tables using keys, and why they are essential for clear, reliable relational database design.

Learn how to use Find and Replace in Excel to clean data, fix errors, and make bulk changes without breaking formulas or formatting.

Learn what Moonshot’s Kimi K2.5 is, how Agent Swarm works, and see it in action through four hands-on, real-world experiments.

Master AWS CloudWatch pricing, logs, and metric filters. Learn to build a custom dashboard and configure alarms for complete cloud visibility.

Master Docker troubleshooting to resolve the "no space left on device" error. Learn how to safely prune unused containers and reclaim lost storage space.

Learn how to use AutoSum in Excel to quickly sum columns and rows. This guide covers shortcuts, common functions, troubleshooting, and working with filtered data.

Learn how to check your Python version in the terminal, scripts, and virtual environments. Understand common issues and best practices for Windows, macOS, and Linux.

A beginner-friendly guide to using Claude inside Excel. You’ll learn what it actually does, where it's most helpful, and how to use it safely in real spreadsheets without breaking anything.