In this course, you’ll learn by doing real data science work, not just reviewing theory.

You’ll complete 5 guided, hands-on projects that reflect how data scientists work in practice. Each project walks you through working with messy data, exploring patterns, building models, and communicating insights.

The goal is simple: move from “I understand the concept” to “I can actually do this.”

By the end of the course, you’ll have 5 portfolio-ready projects you can share on GitHub, resume bullet points to add to your resume and confidently discuss in interviews.

What you’ll practice along the way:

• Analyzing and interpreting real-world datasets
• Build predictive and analytical models
• Making data-driven decisions
• Communicating results clearly

Are you ready? Let's get started!