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: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management
Mixed · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Data Preprocessing, Google Cloud Platform, Model Evaluation, Keras (Neural Network Library), Regression Analysis, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Embeddings, Data Strategy, Supervised Learning, MLOps (Machine Learning Operations), Scikit Learn (Machine Learning Library), Cloud Deployment, Dataflow, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, ChatGPT, Productivity Software, Prompt Engineering, Developing Training Materials, Learning Management Systems, Innovation, Ethical Standards And Conduct, Case Studies, Leadership Development, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Prototyping, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, SQL, Data Analysis, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI Security, AI Enablement, End User Training and Support, Human Computer Interaction, Information Privacy
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Algorithms, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Applied Machine Learning, Machine Learning, Classification Algorithms, Deep Learning, Model Evaluation, Artificial Neural Networks, Dimensionality Reduction, Embeddings, Logistic Regression
Intermediate · Course · 3 - 6 Months