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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Image Analysis, Google Cloud Platform, Unsupervised Learning

  • Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, GIS Software, Spatial Analysis, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Global Positioning Systems, Machine Learning, R Programming, Image Quality, Data Processing, Open Source Technology, Data Collection, Data Transformation, Dimensionality Reduction, Data Import/Export

  • Skills you'll gain: Business Analytics, R Programming, Statistical Analysis, Correlation Analysis, Data Analysis, Analysis, Analytics, Exploratory Data Analysis, Unsupervised Learning, Advanced Analytics, Statistical Methods, Data Visualization, Probability & Statistics, Business Analysis, Machine Learning Algorithms, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Data Analysis, Analytics, Business Analytics, Business Analysis, Sprint Planning, Unsupervised Learning, Case Studies, Anomaly Detection, Tree Maps

  • Status: New

    Illinois Tech

    Skills you'll gain: Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Statistical Machine Learning, Data Mining, Supervised Learning, Machine Learning, Artificial Neural Networks

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms

  • Status: New
    Status: Preview

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

  • Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Prompt Engineering, Unsupervised Learning, Physics

  • Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms