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.

Skills you'll gain: Marketing Management, Case Studies, Data Preprocessing, Artificial Intelligence, Emerging Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Project Planning, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Data Collection, Project Scoping, Performance Measurement, Process Improvement, Quality Management, Customer experience improvement, Quality Control, Process Mapping
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Statistics, Applied Mathematics, Logistic Regression, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Interactive Data Visualization, Heat Maps, Data Visualization, Data Visualization Software, Matplotlib, Plotly, Data Storytelling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis, Data Preprocessing, Data Science, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis
Beginner · Specialization · 1 - 3 Months

Universidad Austral
Skills you'll gain: Interactive Data Visualization, Data Visualization, Data Visualization Software, Tableau Software, Dashboard, Data Storytelling, Tree Maps, Data Presentation, Data Literacy, Software Installation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months