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.

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner Ā· Specialization Ā· 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Innovation, Organizational Development, Organizational Effectiveness, Creative Thinking, Problem Solving, Adaptability, Decision Making, Culture
Mixed Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Blended Learning, Drive Engagement, Classroom Management, Mathematics Education, Digital pedagogy, Learning Management Systems, Creative Problem-Solving, Professional Development
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate Ā· Course Ā· 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Governance, Data Management, AI Workflows, Business Workflow Analysis, Data Pipelines, Google Cloud Platform, Model Evaluation, Machine Learning, Containerization
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, Machine Learning
Beginner Ā· Guided Project Ā· Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Customer Insights, Advanced Analytics, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics
Beginner Ā· Course Ā· 1 - 4 Weeks

University of Michigan
Skills you'll gain: Generative AI, Prompt Engineering, Ideation, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development, digital literacy
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
Intermediate Ā· Course Ā· 1 - 3 Months