Unsupervised Learning

Unsupervised Learning is a type of machine learning that uses algorithms to analyze and cluster unlabeled data. Coursera's Unsupervised Learning catalogue teaches you how to implement this self-guided learning method to discover hidden patterns and correlations in raw, unclassified data. You'll learn about various unsupervised learning models including clustering, anomaly detection, neural networks, and dimensionality reduction. Gain knowledge about the different methods of data analysis, understand how to use clustering and association techniques, and master the art of interpreting and visualizing complex datasets. This skill will enable you to make predictions, enhance data privacy, and implement machine learning models more effectively.
64credentials
10online degrees
189courses

Most popular

Trending now

New releases

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the Unsupervised Learning Course Catalog

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    36K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    Status: Preview

    Packt

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Coursera

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Regression Analysis, Data Manipulation, Statistical Modeling, Data Transformation, Data Cleansing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering, Data Validation

    Mixed · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Applied Machine Learning, Generative Model Architectures, Unsupervised Learning, Artificial Intelligence

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Deep Learning, Applied Machine Learning, Generative AI Agents, Natural Language Processing, Tensorflow, Predictive Modeling, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    340 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    University of Michigan

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    561 reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

Leading partners

  • University of Colorado Boulder
  • Packt
  • IBM
  • University of Illinois Urbana-Champaign
  • DeepLearning.AI
  • EDUCBA
  • Google Cloud
  • Johns Hopkins University