Data Science Tutorials

Learn how absolute references work in Excel formulas to keep specific cell references constant. Discover when to use absolute, relative, and mixed references.

Learn how to break down time series data into meaningful components like trend, seasonality, and residuals using additive and multiplicative models. Learn about both classical and STL methods. Explore seasonal adjustments and practice forecasting with decomposition models.

Learn quick ways to reveal hidden columns, including shortcuts, special cases like column A, and how to manage hidden columns for better spreadsheet organization.

Learn how to install, set up, and run Qwen3 locally with Ollama and build a simple Gradio-based application.

A step-by-step guide for fine-tuning the Qwen3-32B model on the medical reasoning dataset within an hour.

Master the fundamentals of user input handling in Python, from basic prompts to advanced validation and error handling techniques. Learn how to manage secure, multiline inputs and ensure your programs are resilient and user-friendly.

Discover reliable methods for converting text to numbers in Excel, including built-in features, formulas, and manual techniques. Learn how to troubleshoot tricky cases where numbers stay stored as text.

Learn how to optimize PySpark joins, reduce shuffles, handle skew, and improve performance across big data pipelines and machine learning workflows.

Learn more about what Power BI Report Builder is and what it can do for your reporting needs.

Understand the basic concepts of hierarchical clustering, how it works, and how to implement it in Python.

This complete guide shows you how to set up, use, and manage SSH keys for faster and more secure remote access to any system.

Learn how to remove extra rows quickly using sorting, formulas, and VBA, depending on what works best for you.