K Means Clustering courses can help you learn data segmentation, pattern recognition, and effective data visualization techniques. You can build skills in determining optimal cluster numbers, evaluating clustering performance, and applying algorithms to real datasets. Many courses introduce tools like Python, R, and MATLAB, that support implementing clustering methods and analyzing results.

Michigan State University
Skills you'll gain: Oncology, Obstetrics And Gynecology, Informed Consent, Treatment Planning, Patient-centered Care, Urology, Epidemiology, Healthcare Ethics, Patient Education And Counseling, Clinical Practices
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering, Data Validation
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms
Intermediate · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Analytics, Feature Engineering, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Performance Analysis, Case Studies, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Project Implementation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Large Language Modeling, LLM Application
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
Mixed · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Marketing Budgets, Competitive Analysis, Customer Acquisition Management, Online Advertising, Digital Marketing, Marketing Strategies, Social Media Campaigns, Customer Retention, Digital Advertising, Marketing Analytics, Marketing Effectiveness, Advertising Campaigns, Strategic Marketing, Performance Metric, Customer Analysis, Market Analysis, Data-Driven Decision-Making, Peer Review, Target Audience
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)
Intermediate · Course · 1 - 3 Months