Data Science Tutorials

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.

Learn how to edit images using Gemini 2.0 Flash with practical examples and understand its strengths and limitations.

This practical guide to Amazon EMR explains how to set up, manage, and optimize big data clusters, making large-scale data processing easy and efficient!

Learn how to use the git status command to monitor your repository’s state. This guide is perfect for beginners and early‑career practitioners who want an optimized Git workflow.

Learn how to use Vercel's v0 to generate UI components and web applications from natural language prompts, and how to integrate and deploy them.

Learn how to build a multi-agent system using LangManus to analyze a trending GitHub repository, scrape its commit history, visualize activity trends, and generate a markdown report.