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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

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction to Student Assessment

      Skills you'll gain: Constructive Feedback, Teaching, Education and Training, Curriculum Planning, Student Engagement, Quality Assessment, Surveys, Instructional Strategies, Peer Review, Performance Reporting, Reliability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Fundamentals

      Skills you'll gain: Encryption, Identity and Access Management, Public Key Infrastructure, Endpoint Security, Cryptography, Network Security, Cybersecurity, Threat Detection, Cyber Attacks, Security Awareness, Cryptographic Protocols, Data Security, Advanced Encryption Standard (AES), Secure Coding, Hardening, Data Encryption Standard, Firewall, Technical Support and Services, Information Technology, Cyber Security Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Comprendre la France, Advanced French Language & Culture

      Skills you'll gain: Oral Expression, Oral Comprehension, Writing, Vocabulary, Language Learning, Grammar, Culture, Political Sciences, Cultural Diversity, European History, Art History, World History, Science and Research, Social Sciences

      4.9
      Rating, 4.9 out of 5 stars
      ·
      125 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Scrum (Software Development), Software Engineering, Software Design Patterns, Agile Methodology, Software Development Methodologies, Systems Development, Software Development, Unified Modeling Language, Programming Principles, Application Development, Software Development Tools, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Inglés Empresarial

      Skills you'll gain: Business Ethics, Sales Presentations, Meeting Facilitation, Graphic Design, English Language, Brainstorming, Negotiation, Purchasing, Verbal Communication Skills, Business Writing, Presentations, Product Planning, Telephone Skills, Communication, Marketing Materials, Business Communication, Business Planning, Employee Coaching, Financial Analysis, New Product Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Foundations of Teaching for Learning: Introduction to Student Assessment: Commonwealth Education Trust
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Cybersecurity Fundamentals: IBM
    • Using Python to Interact with the Operating System: Google
    • Guided Tour of Machine Learning in Finance: New York University
    • Comprendre la France, Advanced French Language & Culture : École Polytechnique
    • Introduction to Software Engineering: 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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