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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
      I

      IBM

      Developing Front-End Apps with React

      Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Javascript, Event-Driven Programming, Cascading Style Sheets (CSS), Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      680 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Tel Aviv University

      The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World

      Skills you'll gain: Public History, World History, European History, Social Justice, Research, Political Sciences, Social Sciences, Cultural Diversity, Policy Analysis, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Business English: Capstone Project

      Skills you'll gain: Oral Expression, Persuasive Communication, Presentations, Business Writing, Peer Review, Business Communication, Communication, Public Speaking, Business Planning, Marketing, English Language, Business Marketing, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      182 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Agentic AI and AI Agents: A Primer for Leaders

      Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Generative AI, Automation, Business Transformation, Technology Strategies, Business Strategy, Strategic Decision-Making, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      English for Interactions in the Workplace Intermediate Level

      Skills you'll gain: English Language, Language Competency, Vocabulary, Business Correspondence, Writing, Grammar, Business Communication, Oral Expression, Storytelling, Communication Strategies, Business Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      285 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Institute for the Future

      Ready, Set, Future! Introduction to Futures Thinking

      Skills you'll gain: Forecasting, Innovation, Proactivity, Strategic Thinking, Creative Thinking, Optimism, Systems Thinking, Cognitive flexibility, Trend Analysis, Professional Development, Adaptability, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Introduction to HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      The Unix Workbench

      Skills you'll gain: GitHub, Unix Shell, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Programming Principles, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Noun Clauses and Conditionals

      Skills you'll gain: Grammar, English Language, Language Learning, Language Competency

      4.8
      Rating, 4.8 out of 5 stars
      ·
      466 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Computational Logic, Program Development, Artificial Intelligence, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Engineering Software, Logical Reasoning, Software Development, Generative AI, Deductive Reasoning, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      592 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Developing Front-End Apps with React: IBM
    • The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World: Tel Aviv University
    • Business English: Capstone Project: University of Washington
    • Agentic AI and AI Agents: A Primer for Leaders: Vanderbilt University
    • English for Interactions in the Workplace Intermediate Level: Pontificia Universidad Católica de Chile
    • Ready, Set, Future! Introduction to Futures Thinking: Institute for the Future
    • Practical Data Science with MATLAB: MathWorks
    • Introduction to HTML: Coursera Project Network
    • The Unix Workbench: Johns Hopkins University
    • Noun Clauses and Conditionals: University of California, Irvine

    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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