Dimensionality Reduction: PCA, t-SNE and UMAP

Free Intermediate course · 10 lessons · 3 weeks · Certificate on completion

Compress, visualise and denoise high-dimensional data without fooling yourself. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.

What you'll learn

Skills you'll pick up

Tools covered

Course modules

Module 1: The curse of dimensionality

Module 1 of Dimensionality Reduction: PCA, t-SNE and UMAP. 3 lessons · 3h

Module 2: Kernel PCA

Module 2 of Dimensionality Reduction: PCA, t-SNE and UMAP. 3 lessons · 3h

Module 3: Autoencoders for compression

Module 3 of Dimensionality Reduction: PCA, t-SNE and UMAP. 2 lessons · 2h

Module 4: Visualising embeddings

Module 4 of Dimensionality Reduction: PCA, t-SNE and UMAP. 2 lessons · 2h

Lessons in this course

Instructor

Elena Sokolova — Applied ML Researcher

Elena Sokolova is a Applied ML Researcher with years of hands-on experience teaching Dimensionality Reduction to thousands of learners worldwide.

Certificate

Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Dimensionality Reduction: PCA, t-SNE and UMAP. It can be downloaded as a PDF and shared on LinkedIn.

Career outcomes

Median global salary $118,000 per year · median India salary ₹16,52,000 per year · 73,229 open roles worldwide

Frequently asked questions

Is the Dimensionality Reduction: PCA, t-SNE and UMAP course free?

Yes. Every Learnera course, including Dimensionality Reduction: PCA, t-SNE and UMAP, is completely free — lessons, quizzes, the final exam, and the certificate.

How long does Dimensionality Reduction: PCA, t-SNE and UMAP take?

10 lessons, typically completed in 3 weeks at a comfortable pace.

Do I get a certificate?

Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.

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