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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
      B

      Berklee

      Guitar Scales and Chord Progressions

      Skills you'll gain: Music Theory, Music, Instrumental Music, Music Performance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      390 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      How to Set Up a Facebook Ads Campaign

      Skills you'll gain: Target Audience, Facebook, Advertising Campaigns, Social Media Campaigns, Campaign Management, Social Media, Social Media Management, Paid media, Online Advertising, Social Media Marketing, Advertising, Marketing Budgets, Digital Advertising, Budgeting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Risk governance: Manage the risks

      Skills you'll gain: Risk Management Framework, Governance, Risk Management, Enterprise Risk Management (ERM), Risk Analysis, Operational Risk, Compliance Management, Business Risk Management, Risk Mitigation, Risk Modeling, Business Ethics, Corporate Strategy, Stakeholder Management, International Finance, Corporate Finance, Stakeholder Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      375 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Migrating to the AWS Cloud

      Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Blockchain Platforms

      Skills you'll gain: Blockchain, Emerging Technologies, Distributed Computing, Microsoft Azure, FinTech, Cloud Computing Architecture, Platform As A Service (PaaS), Cryptography, Open Source Technology, Scalability, Data Storage, Information Privacy

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Achieving Advanced Insights with BigQuery

      Skills you'll gain: SQL, Big Data, Google Cloud Platform, Data Access, Database Architecture and Administration, Performance Tuning, Jupyter, Data Warehousing, Data Security, Data Science, Data Structures

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Human Anatomy & Physiology I

      Skills you'll gain: Anatomy, Orthopedics, Kinesiology, Neurology, Medical Terminology, Biochemistry, Biology, Chemistry, Physical Therapy, Pathology, Molecular, Cellular, and Microbiology, Pharmacology, Radiography, Life Sciences

      4.8
      Rating, 4.8 out of 5 stars
      ·
      122 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of London

      Discover Acting

      Skills you'll gain: Performing Arts, Literacy, Self-Awareness, Verbal Communication Skills, Analytical Skills, Creativity, Communication, Adaptability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      191 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Concurrent Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Computer Science, Performance Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      663 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Guitar Scales and Chord Progressions: Berklee
    • How to Set Up a Facebook Ads Campaign: Coursera Project Network
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Risk governance: Manage the risks: Macquarie University
    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Migrating to the AWS Cloud: Amazon Web Services
    • Blockchain Platforms: University at Buffalo
    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Human Anatomy & Physiology I: Rice University
    • Machine Learning Capstone: 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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