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.

John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Model Evaluation, Statistical Methods, Algorithms, Verification And Validation
Mixed · Course · 1 - 3 Months
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
Advanced · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Text Mining, Unstructured Data, Data Analysis, Exploratory Data Analysis, Data Visualization, Data Preprocessing, Data Presentation, Data Visualization Software, Model Evaluation, Natural Language Processing, Technical Writing, Algorithms
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Applied Machine Learning, Anomaly Detection, Generative AI, Time Series Analysis and Forecasting, Model Evaluation, Text Mining, Predictive Modeling, Generative Adversarial Networks (GANs), Generative Model Architectures, Forecasting, Advanced Analytics, Machine Learning Methods, Statistical Machine Learning, Model Training, Large Language Modeling, Natural Language Processing, Predictive Analytics, Unstructured Data, Data Analysis, Statistical Analysis
Intermediate · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Data Manipulation, Decision Tree Learning, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
Mixed · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Mining, Business Intelligence, Star Schema, Snowflake Schema, Data Modeling, Data Architecture, Unsupervised Learning, Business Analytics, Data-Driven Decision-Making, Machine Learning Methods, Databases, Predictive Modeling, Cloud Computing, Supervised Learning, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Analytics, Data Analysis, Machine Learning Algorithms, Data Preprocessing, Unsupervised Learning, Data Cleansing, Data Science, NumPy, Data Manipulation, Data Transformation, Data Structures, Pandas (Python Package), Dimensionality Reduction, Classification Algorithms, Python Programming, Regression Analysis, Data Visualization
Build toward a degree
Intermediate · Course · 1 - 3 Months

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