What is 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.

Why is it important to learn about unsupervised learning?

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.

What career opportunities can arise from learning unsupervised learning?

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.

How can online courses on Coursera help me learn unsupervised learning?

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.

What are the benefits of taking an online Unsupervised Learning course?

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.

What Unsupervised Learning courses are best for training and upskilling employees or the workforce?

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 .

Top Unsupervised Learning Courses - Learn Unsupervised Learning Online

Explore the Unsupervised Learning Course Catalog

University of London
Graduate Diploma in Computer Science
Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing
Credit offered
Graduate Certificate · 6 - 12 Months
Pontificia Universidad Católica de Chile
Certificado en Introducción a la Ciencia de Datos
Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning
Credit offered
Mastertrack · 6 - 12 Months
Universidad de los Andes
Maestría en Inteligencia Artificial
Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Anomaly Detection, Computer Vision, Reinforcement Learning, Cloud-Native Computing, Natural Language Processing, Containerization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Machine Learning, CI/CD, Probability & Statistics, Control Systems, Data Ethics, Application Deployment, Epidemiology, Education Software and Technology
Earn a degree
Degree · 1 - 4 Years
Status: New
Google Cloud
Menggunakan BigQuery Machine Learning untuk Inferensi
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
University of Michigan
Master of Applied Data Science
Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, Interactive Data Visualization, PySpark, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Linear Algebra, Natural Language Processing, JSON, Data Mining, Applied Machine Learning, Qualitative Research, Statistical Visualization
Earn a degree
Degree · 1 - 4 Years
University of Leeds
Master of Science in Data Science (Statistics)
Skills you'll gain: Regression Analysis, Web Scraping, Statistical Hypothesis Testing, Matplotlib, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Data Analysis, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML)
Earn a degree
Degree · 1 - 4 Years
University of London
Graduate Certificate in Computer Science
Skills you'll gain: Virtual Reality, Human Computer Interaction, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing
Credit offered
Graduate Certificate · 6 - 12 Months
Universidad de los Andes
Maestría en Inteligencia Analítica de Datos
Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Product Development
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos
Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization
Earn a degree
Degree · 1 - 4 Years
University of Colorado Boulder
Master of Engineering in Engineering Management
Skills you'll gain: User Story, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives
Earn a degree
Degree · 1 - 4 Years
University of Illinois at Urbana-Champaign
Instructional Design MasterTrack® Certificate
Skills you'll gain: Process Improvement, Supply Chain, Supply Chain Management, Supply Chain Systems, Operations Management, Supply Chain Planning, Change Management, Business Operations, Process Analysis, Statistical Process Controls, Instructional Design, Materials Management, Continuous Improvement Process, Learning Management Systems, Education Software and Technology, Augmented and Virtual Reality (AR/VR), Technology Strategies, Solution Design, System Implementation, Emerging Technologies
Credit offered
Mastertrack · 6 - 12 Months
University of Colorado Boulder
Master of Science in Electrical and Computer Engineering
Skills you'll gain: User Story, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Object Oriented Design, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives
Earn a degree
Degree · 1 - 4 Years