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    • Unsupervised Learning

    Unsupervised Learning Courses Online

    Study unsupervised learning for machine learning. Learn about clustering, dimensionality reduction, and anomaly detection techniques.

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    Explore the Unsupervised Learning Course Catalog

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Machine Learning for Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Data Validation, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Museum of Modern Art

      Art & Inquiry: Museum Teaching Strategies For Your Classroom

      Skills you'll gain: Literacy, Teaching, Liberal Arts, Critical Thinking, Emotional Intelligence, Creativity, Instructional Strategies, Student Engagement, Self-Awareness, Curriculum Planning, Learning Styles, Empathy, Social Studies, Discussion Facilitation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      511 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Building Web Applications in Django

      Skills you'll gain: Django (Web Framework), Object-Relational Mapping, Database Design, Model View Controller, SQL, Databases, Object Oriented Programming (OOP), Web Applications, Data Modeling, Application Security, Hypertext Markup Language (HTML), Software Design Patterns, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      777 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Love as a Force for Social Justice

      Skills you'll gain: Compassion, Interpersonal Communications, Social Justice, Communication, Empathy, Relationship Building, Liberal Arts, Social Sciences, Community and Social Work, Collaboration, Cultural Diversity, Creativity, Research, Psychology, Ethical Standards And Conduct, Neurology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      422 reviews

      Beginner · Course · 1 - 3 Months

    • L

      Lund University

      Artificial Intelligence: Ethics & Societal Challenges

      Skills you'll gain: Data Ethics, Artificial Intelligence, Social Justice, Algorithms, Ethical Standards And Conduct, Information Privacy, Political Sciences, Emerging Technologies, Governance, Law, Regulation, and Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      272 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Data Analysis with Tableau

      Skills you'll gain: Exploratory Data Analysis, Tableau Software, Statistical Visualization, Data Analysis, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Histogram, Data Manipulation, Regression Analysis, Correlation Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      90 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, Data Presentation, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      184 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Voxy

      Low Intermediate English: Meet & Greet

      Skills you'll gain: Vocabulary, English Language, Oral Comprehension, Language Competency, Grammar

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Introduction to Software Development

      Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Software Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…707172…406

    In summary, here are 10 of our most popular unsupervised learning courses

    • Machine Learning for Computer Vision: MathWorks
    • Data Science in Real Life: Johns Hopkins University
    • Art & Inquiry: Museum Teaching Strategies For Your Classroom: The Museum of Modern Art
    • Building Web Applications in Django: University of Michigan
    • Love as a Force for Social Justice: Stanford University
    • Artificial Intelligence: Ethics & Societal Challenges: Lund University
    • Data Analysis with Tableau: Tableau Learning Partner
    • Snowflake Data Engineering: Snowflake
    • Machine Learning Using SAS Viya: SAS
    • Low Intermediate English: Meet & Greet: Voxy

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Unsupervised Learning

    Unsupervised learning is a type of AI-based machine learning that lets people get information from untargeted data sets. The machines find and manage unlabeled data so people are able to take advantage of complex tools, such as dimension reduction algorithms and clustering. The result of unsupervised learning is that users are able to identify patterns and results that emerge from a raw data set. Instead of entering a data set or goal, someone using unsupervised learning gets to let the data sets and patterns emerge to find the algorithm that makes the most sense.‎

    If you enjoy solving complex puzzles and detecting hidden information to answer questions, learning about unsupervised learning puts it within your grasp to identify and present data in a coherent, usable manner. Learning how tools like dimensionality reduction algorithms and clustering let you break raw data into subsets and categories or clusters that can be used to create models. This makes the information usable for decision-making purposes as well as for directing supervised AI to explore specific data subsets. The categorized information becomes more relevant, and the characteristics of data clusters become more recognizable.‎

    Data scientists and machine learning (AI) specialists are two career opportunities that can emerge from picking up the study of unsupervised learning. Before studying unsupervised learning, it helps to have Python programming knowledge and know the basics of calculus, data cleaning, probability, statistics, linear algebra, and exploratory data analysis because unsupervised learning builds upon these skills. You might work exclusively in the field of IBM machine learning strategies, or you may work in another field, such as engineering, customer market segmentation, data mining, or predictive analysis. Studying unsupervised learning helps you stay on top of developments in machine learning to stay relevant as well as advance in your career if you're already in the field.‎

    The online unsupervised learning courses on Coursera give you the knowledge and practical experience about machine learning so you're able to use tools like k-means clustering, cluster analysis, and principle component analysis (PCA) to apply unsupervised machine learning techniques in a business setting. Apply these new skills and newly learned information to real-life business situations. Our online unsupervised learning courses provide the information and opportunity for you to develop a skill set that helps you reach your career goals or earn college credits at your own pace, and on your own terms.‎

    Online Unsupervised Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Unsupervised Learning skills. Choose from a wide range of Unsupervised Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Unsupervised Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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