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 Ā· Specialization Ā· 1 - 3 Months

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

University of Illinois Urbana-Champaign
Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Spatial Analysis, Machine Learning Methods, Model Evaluation, Statistical Methods, Taxonomy, Exploratory Data Analysis, Algorithms, Verification And Validation
Mixed Ā· Course Ā· 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, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Visualization Software, Data Management, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics
Beginner Ā· Specialization Ā· 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
Beginner Ā· Professional Certificate Ā· 3 - 6 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 Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Intermediate Ā· Specialization Ā· 3 - 6 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 Ā· Specialization Ā· 1 - 3 Months

Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning
Beginner Ā· Course Ā· 1 - 4 Weeks
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 Ā· Course Ā· 1 - 3 Months

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 Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Generative AI, Data Pipelines, AI Integrations, Data Processing, Data Ethics, Responsible AI, Prompt Engineering, Data Engineering, Data Analysis, Data Cleansing, AI Workflows, Data Transformation, Business Process Automation, Automation, Business Intelligence, Statistical Analysis, Predictive Analytics, Debugging
Intermediate Ā· Course Ā· 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 Ā· Course Ā· 1 - 3 Months