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
12online degrees
195courses

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Explore the Unsupervised Learning Course Catalog

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Business Analytics, Risk Analysis, Decision Making, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel

  • Status: Free Trial

    Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

  • Status: Free Trial

    Skills you'll gain: Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning, Big Data

  • Status: Free Trial

    Icahn School of Medicine at Mount Sinai

    Skills you'll gain: Bioinformatics, Unsupervised Learning, Biostatistics, Biology, Machine Learning Algorithms, Data Processing, Statistical Methods, Systems Engineering, Unix Commands, Linux Commands

  • Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

  • Status: Free Trial

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

  • Status: Free Trial

    University of California San Diego

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

  • Status: New
    Status: Free Trial

    Saïd Business School, University of Oxford

    Skills you'll gain: Responsible AI, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Generative AI, Generative Model Architectures, Data Ethics, Deep Learning, Machine Learning, Business Ethics, Supervised Learning, Reinforcement Learning, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity

  • Status: Free Trial

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning