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.
65credentials
15online degrees
194courses

Filter by

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

    Skills you'll gain: Business Analytics, Regression Analysis, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Data Processing, Predictive Modeling, Machine Learning, Workflow Management, Python Programming, Supervised Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

  • Status: Free Trial

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

  • Status: Preview

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Unsupervised Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Prompt Engineering, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Supervised Learning, Applied Machine Learning, Deep Learning, Small Data, Machine Learning, Computer Vision, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning

  • Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Supervised Learning, Predictive Modeling, Machine Learning

  • Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Bayesian Statistics, Natural Language Processing, Scientific Visualization, Unstructured Data, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Probability

  • Status: Preview

    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

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