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.
University of Toronto
Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Microsoft 365, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Data Visualization, No-Code Development, Spreadsheet Software, Collaborative Software, Microsoft Office, Power Apps Component Framework, Presentations, Data Analysis
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Large Language Modeling, Model Deployment, Natural Language Processing, Application Deployment, Transfer Learning, Embeddings, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Processing, Application Programming Interface (API), Model Evaluation, Automation, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research
Mixed · Course · 1 - 3 Months

The Museum of Modern Art
Skills you'll gain: Art History, Liberal Arts, Aesthetics, Creativity, Cultural Diversity, Storytelling, Social Impact, Design
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months