Data Science Tutorials

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

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.

Understand how to model the probability of first success in repeated trials, explore its unique memoryless property, and discover practical applications across industries from quality control to customer acquisition.

See how INDEX() and MATCH() are used to look up values within a table or range of cells Compare INDEX() and MATCH() to VLOOKUP().

Learn what deep agents are, their core components, and how to build a job application assistant using LangChain's deepagents package.

Master Excel drop-down lists with step-by-step tips for setup, troubleshooting, and advanced techniques like cascading and searchable lists.