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: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing
Intermediate · Course · 1 - 3 Months

Banco Interamericano de Desarrollo
Skills you'll gain: Data Collection, Business Intelligence, Data-Driven Decision-Making, Data Strategy, Data Analysis, Business Analytics, Data Ethics, Analytics, Big Data, Small Data, Diversity and Inclusion, Organizational Effectiveness, Data Quality, Market Opportunities
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours

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: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

University of Minnesota
Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Model Evaluation, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Machine Learning, Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Jupyter, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Amazon Web Services
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI Agents, Responsible AI
Mixed · Course · 1 - 4 Weeks