Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.

Skills you'll gain: Artificial Intelligence, Python Programming, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Health Informatics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Data Synthesis, Python Programming
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis
Beginner · Course · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Unstructured Data, Emerging Technologies, Big Data, Health Technology, Analytics, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Data Analysis, Artificial Intelligence, Home Health Care, Data Quality, Responsible AI, Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction
Advanced · Course · 1 - 3 Months
Sungkyunkwan University
Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Asset Management
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Beginner · Course · 1 - 3 Months

Politecnico di Milano
Skills you'll gain: Blended Learning, Pedagogy, Course Development, Large Language Modeling, LLM Application, Instructional Design, Instructional and Curriculum Design, Student Engagement, Learning Strategies, Interactive Learning, Education Software and Technology, Educational Materials, AI Personalization, Student-Centred Learning, Curriculum Planning, Differentiated Instruction, Lifelong Learning, Innovation, Open Source Technology, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months