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Data Science & AI Course.

This program takes you from Python fundamentals to building real AI applications, with a full data science and machine learning skill set employers actually look for. You'll learn to clean and explore data, then move into classic machine learning (supervised and unsupervised methods, SVMs, random forests) before tackling deep learning: neural networks, CNNs, autoencoders, and data augmentation. The curriculum also covers natural language processing, model deployment, and MLOps, so you understand not just how to build models but how to ship them. You'll finish with a portfolio of real projects and the practical skills to compete in the data science and AI job market.

Level

Beginner

Duration

120 Hours

Format

Self-Paced

Certification

Included

Data Science and AI using Python with charts

Why learn with Code Labs Academy?

Portfolio building

Show your skills with real outcomes. Throughout your course, you’ll complete hands-on projects based on real-world scenarios. By the end, you’ll have a professional portfolio that demonstrates your skills and the way you work.

Mentor support

Learn with guidance from industry professionals. You’ll receive feedback on your projects, help when you get stuck, and practical insights that support steady progress and confidence.

Clear learning roadmap

Follow a structured path designed for progress. Each course includes clear learning objectives, skill milestones, and project deliverables, so you always know what’s next and why it matters.

Google reviews
4.9/5 · 42 reviews
Course Report reviews
4.97/5 · 33 reviews
Switchup reviews
5.0/5 · 26 reviews

What you’ll Learn

Go from curious about data science to fully certified in as few as 12 weeks full time, guided through a curriculum built specifically for that path.


Career guidance & interview preparation

Want extra support beyond the course? We can help you present your new skills with portfolio feedback, interview practice, and tailored guidance, whether you’re aiming for a new role or growing in your current one.



Ready to level up your skills?

Start building practical tech skills at your own pace, and apply what you learn right away.

Frequently Asked Questions