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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
      U

      University of California, Irvine

      Virtual Teacher

      Skills you'll gain: Peer Review, Instructional Design, Education Software and Technology, Parent Communication, Instructional Strategies, Student Engagement, Learning Management Systems, Student Support and Services, Teaching, Course Development, Collaborative Software, Developing Training Materials, Curriculum Development, Curriculum Planning, Blended Learning, Virtual Environment, Data Management, Performance Testing, Augmented Reality, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Technion - Israel Institute of Technology

      Nanotechnology and Nanosensors, Part1

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Semiconductors, Innovation, Chemical and Biomedical Engineering, Emerging Technologies, Chemistry, Electronics, Medical Equipment and Technology, Laboratory Research, Chemical Engineering, Creative Design, Biochemistry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, User Story, Kanban Principles, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Pandas (Python Package), Applied Machine Learning, Matplotlib, Predictive Modeling, Simulations, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Teach English: Intermediate Grammar

      Skills you'll gain: Video Production, Grammar, Developing Training Materials, English Language, Vocabulary, Language Competency, Language Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      150 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      ·
      284 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Università Bocconi

      Corporate Sustainability. Understanding and Seizing the Strategic Opportunity

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Business Transformation, Business Ethics, Organizational Change, Socioeconomics, Business Strategy, Systems Thinking, Stakeholder Management, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      904 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to HTML, CSS, & JavaScript

      Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Web Design, Cascading Style Sheets (CSS), Front-End Web Development, Hypertext Markup Language (HTML), Web Development, Responsive Web Design, Javascript, Web Applications, Full-Stack Web Development, Scripting, Browser Compatibility, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      505 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Cape Town

      Disability Inclusion in Education: Building Systems of Support

      Skills you'll gain: Disabilities, Visual Impairment Education, Developmental Disabilities, Special Education, Individualized Education Programs (IEP), Instructional Strategies, Student Support and Services, Teaching, Social Justice, Differentiated Instruction, Diversity Equity and Inclusion Initiatives, Working With Children, Advocacy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      818 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Strategy and Governance

      Skills you'll gain: Data Ethics, Data Governance, Personally Identifiable Information, Data Security, Governance, Business Strategy, Organizational Strategy, Business Transformation, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Innovation, Algorithms, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      298 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Virtual Teacher: University of California, Irvine
    • Web Application Technologies and Django: University of Michigan
    • Nanotechnology and Nanosensors, Part1: Technion - Israel Institute of Technology
    • Managing an Agile Team: University of Virginia
    • Applied Social Network Analysis in Python: University of Michigan
    • Teach English: Intermediate Grammar: University of California, Irvine
    • English for Interactions in the Workplace Intermediate Level: Pontificia Universidad Católica de Chile
    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • Corporate Sustainability. Understanding and Seizing the Strategic Opportunity : Università Bocconi
    • Introduction to HTML, CSS, & JavaScript: IBM

    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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