Data Science Tutorials

Learn how to use cron jobs in data engineering—perfect for automating repetitive tasks, improving reliability, and optimizing workflows.

Learn how Python's double underscore methods allow your custom objects to work naturally with built-in operations, from printing to arithmetic. Discover how these magic methods simplify class design and unlock powerful behaviors.

Learn how to create and customize Power BI tooltips to reveal deeper insights and improve the report's user experience.

Learn two reliable methods for applying PivotTable conditional formatting and avoid common pitfalls.

Learn about Runway Gen-4’s capabilities through practical examples, and how to work around its limitations by using image generation models from GPT-4o and Gemini.

Learn how to lock all or specific cells in Excel to prevent unwanted changes. Follow detailed steps to protect formulas, enable editing for selected users, and secure your worksheets with passwords.

Discover why Euler’s number is everywhere—from banking and biology to machine learning and meteorology—and how this constant powers continuous growth and change.

Visualize inequality at a glance using the Lorenz curve. Discover how to create and interpret Lorenz curves using Python to analyze inequality across income, crime, and other real-world datasets.

Learn how to access and manage Azure storage resources using Storage Explorer. This tutorial shows how to install the application and connect Storage Explorer to your Azure Storage account to upload, download, and manage data.

This tutorial is a practical, hands-on guide to Azure Blob Storage, covering everything from setup and file uploads to securing access and cutting storage costs!

Learn how to create, format, and customize Excel pie charts. Discover Excel pie chart options like doughnut charts, pie of pie charts, and exploded pie charts.

The central limit theorem states that, with a sufficiently large sample size, the sampling distribution of the mean will be normally distributed, regardless of the population’s distribution. Learn its formula, key conditions, and applications in statistics and machine learning.