Data Science Tutorials

I tested Google's new Gemini 2.5 Deep Think mode on five real-world problems, ranging from PhD-level questions to business challenges.

Learn how to use Cramer's rule to solve systems of linear equations through determinants, with practical examples.

Explore the latest OpenAI GPT-5 API features with code examples, including reasoning effort, verbosity control, chain-of-thought handoff, freeform input, output constraints, allowed tools, preambles, prompt optimization, and more.

Running GPT-OSS 120B locally, accessing it in a browser using the free chat applications, trying fast and free LLM inference providers, and exploring an LLM marketplace for the best and fastest model access.

Generate random numbers in Excel easily with the RANDARRAY() function. Learn how to use RANDARRAY() to create dynamic arrays of random numbers for your spreadsheets.

Find the most common value in your data. Learn to use MODE() function in Excel for quick statistical insights. Master basic and advanced use cases with clear examples.

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.

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

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

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

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