Data mining courses can help you learn data preprocessing, pattern recognition, and predictive modeling techniques. You can build skills in clustering, classification, and anomaly detection, that support extracting meaningful insights from large datasets. Many courses introduce tools like Python, R, and SQL, along with software such as RapidMiner and Weka, to help you apply these skills in real-world data analysis projects.

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Presentations, Canva (Software), Typography, Target Audience, Data Visualization, Infographics, Graphic and Visual Design, Communication, Strategic Communication, Timelines, Storytelling, Design, Layout Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Self Service Technologies, Automation, Setting Appointments, AI Workflows, Calendar Management, Prompt Engineering, Customer Service, Customer Inquiries, Customer Communications Management, Scheduling, Dental Care, Greeting Customers
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Structures, Debugging, Functional Design
Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Research Methodologies, Research Design, Research, Surveys, Qualitative Research, Writing, Ethical Standards And Conduct, Data Collection, Timelines, Social Sciences
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Product Testing, Hazard Analysis, Analytical Chemistry, Environmental Regulations, Pharmacology, Biochemistry, Cell Cultures, Environmental Science, Biochemical Assays, Laboratory Research, Biostatistics, Bioinformatics, Molecular Biology, Data Mining
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Application Lifecycle Management, Power Platform CLI, CI/CD, Continuous Integration, Microsoft Power Platform, Continuous Delivery, Software Development Life Cycle, Application Deployment, Azure DevOps, Microsoft Azure, Configuration Management, Multi-Tenant Cloud Environments, Version Control, Data Import/Export, YAML, Data Science
Beginner · Course · 3 - 6 Months

LearnQuest
Skills you'll gain: Responsible AI, No-Code Development, AI Enablement, Regulatory Requirements, Compliance Management, Business Transformation, Business Process Automation, Business Process, Data Management, Risk Mitigation, Risk Analysis, Return On Investment, Process Design, Key Performance Indicators (KPIs), Regulation and Legal Compliance, Business Software, Digital Transformation, Change Management, Data-Driven Decision-Making, Predictive Analytics
Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction
Intermediate · Course · 1 - 4 Weeks