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Coursera

Machine Learning: Classification

Machine Learning: Classification is a beginner-level online course from Coursera in Machine Learning. It is structured in 10 modules, over 21h 25m. Learners rate it 4.7/5 from 3.7K ratings on Coursera.

Part of our Machine Learning courses collection, where we compare it against 5 other courses.

★★★★★4.7(3.7K reviews) English

Course highlights

Provider Coursera
Duration 21h 25m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.7★ (3.7K reviews)
Price Check price Free

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 21h 25m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Machine LearningText MiningPredictive ModelingRiskingApplied Machine LearningModel TrainingScalabilityDecision Tree LearningData CleansingNatural Language ProcessingSupervised LearningLogistic Regression

What this course covers

10 modules

The 10-part outline Coursera publishes for this course, across 21h 25m.

Module 1 · Welcome!
Module 2 · Linear Classifiers & Logistic Regression
Module 3 · Learning Linear Classifiers
Module 4 · Overfitting & Regularization in Logistic Regression
Module 5 · Decision Trees
Module 6 · Preventing Overfitting in Decision Trees
Module 7 · Handling Missing Data
Module 8 · Boosting
Module 9 · Precision-Recall
Module 10 · Scaling to Huge Datasets & Online Learning

What learners rate it

4.7
★★★★★
3.7K ratings

Rated 4.7/5 by 3.7K learners on Coursera (checked 25 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Machine Learning: Classification This Coursera 4.7★ Check price 21h 25m Most popular — 0 learners
Machine Learning Coursera 4.9★ Check price 2 months Highest rated (4.9★ from 39.2K reviews)
Machine Learning with Python Coursera 4.7★ Check price 20h 26m Quickest to finish (20h 26m)
Mathematics for Machine Learning Coursera 4.6★ Check price 1 month Beginner-friendly · 1 month
See all Machine Learning courses →

Where Machine Learning leads

Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Coursera.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

How much does Machine Learning: Classification cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Machine Learning: Classification come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Machine Learning: Classification take?

Coursera lists it at 21h 25m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Machine Learning: Classification suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Machine Learning: Classification cover?

It is organised into 10 modules, starting with Welcome! and going on to Linear Classifiers & Logistic Regression, Learning Linear Classifiers, Overfitting & Regularization in Logistic Regression, Decision Trees, among others. The full outline is on this page.