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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
      D

      Duke University

      Building Cloud Computing Solutions at Scale

      Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Development, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Extract, Transform, Load, Google Cloud Platform

      4.4
      Rating, 4.4 out of 5 stars
      ·
      462 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Nanyang Technological University, Singapore

      Motivating Gen Z Learners: What Parents and Teachers Need to Know

      Skills you'll gain: Growth Mindedness, Motivational Skills, Learning Strategies, Interactive Learning, Student Engagement, Self-Motivation, Learning Theory, Needs Assessment, Instructional Strategies, Behavior Management, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      339 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Organization Planning and Development for the 6 σ Black Belt

      Skills you'll gain: Lean Six Sigma, Six Sigma Methodology, Process Improvement, Lean Manufacturing, Organizational Development, Change Management, Continuous Improvement Process, Business Strategy, Quality Management, Benchmarking, Leadership and Management, Performance Measurement, Strategic Thinking, Cost Management, Business Metrics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Mixed · Course · 1 - 3 Months

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

      Starweaver

      Luxury Hospitality & Brand Innovation

      Skills you'll gain: Customer experience strategy (CX), Service Design, Design Thinking, Change Management, Hospitality Management, Social Media Marketing, Process Mapping, Key Performance Indicators (KPIs), Hospitality Services, Social Media, Social Media Management, Digital Media Strategy, Content Creation, Hospitality, Search Engine Optimization, Brand Management, Hotel And Restaurant Management, Personalized Service, Innovation, Branding

      4.4
      Rating, 4.4 out of 5 stars
      ·
      166 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      172 reviews

      Advanced · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Automatic Data Processing, Inc. (ADP)

      Payroll and Tax Fundamentals

      Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Aprende a programar con Python

      Skills you'll gain: Software Documentation, Object Oriented Design, Unified Modeling Language, Relational Databases, Object-Relational Mapping, Software Design, Test Driven Development (TDD), Database Management, Unit Testing, Database Design, SQL, Debugging, Data Structures, Python Programming, JSON, File Management, Scripting, Software Installation, Development Environment, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      California Institute of the Arts

      Approaching Music Theory: Melodic Forms and Simple Harmony

      Skills you'll gain: Music Theory, Music, Musical Composition, Classical Music, Music History, Instrumental Music, Music Performance, World Music

      4.7
      Rating, 4.7 out of 5 stars
      ·
      165 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Presentation, Data Modeling, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      263 reviews

      Beginner · Course · 1 - 3 Months

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

    • Building Cloud Computing Solutions at Scale: Duke University
    • Fundamentals of Machine Learning in Finance: New York University
    • Motivating Gen Z Learners: What Parents and Teachers Need to Know: Nanyang Technological University, Singapore
    • Organization Planning and Development for the 6 σ Black Belt: Kennesaw State University
    • Luxury Hospitality & Brand Innovation: Starweaver
    • DevOps, DataOps, MLOps: Duke University
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Payroll and Tax Fundamentals: Automatic Data Processing, Inc. (ADP)
    • Team Software Engineering with AI: DeepLearning.AI
    • Aprende a programar con Python: Universidad Austral

    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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