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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

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

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

      Intermediate · Course · 1 - 3 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Professional Networking, Vulnerability Assessments, Bash (Scripting Language), Operating Systems, Security Controls, Debugging, Interviewing Skills, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Predictive Modeling, Data Synthesis, Performance Tuning, Classification And Regression Tree (CART), Data Analysis, Data Processing, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Databases, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Web Services, Interviewing Skills, Python Programming, Programming Principles, Scripting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Finance, Data Management, Business Intelligence Software, Consolidation, Data Integrity, Data Entry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      62K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      HRCI

      Learning and Development

      Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Management Training And Development, Workforce Development, On-The-Job Training, Needs Assessment, Program Evaluation, Professional Development, Learning Styles, Return On Investment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      701 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Learn English: Beginning Grammar

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.6K reviews

      Beginner · Specialization · 1 - 3 Months

    Unsupervised Learning learners also search

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    1234…402

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

    • Exploratory Data Analysis for Machine Learning: IBM
    • Google Cybersecurity: Google
    • Deep Learning for Computer Vision: MathWorks
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Data Engineering Foundations: IBM
    • Machine Learning for Trading: New York Institute of Finance
    • Deep Learning and Reinforcement Learning: IBM
    • Google IT Automation with Python: Google
    • IBM Data Science: IBM
    • Excel Skills for Business: Macquarie University

    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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