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: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Hugging Face, Large Language Modeling, Transfer Learning, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Embeddings, Python Programming, Applied Machine Learning, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Spreadsheet Software, Interactive Data Visualization, Excel Formulas, Data Visualization Software, Metadata Management, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Real Time Data, Kibana, Query Languages, Data Modeling, Distributed Computing, SQL, NoSQL, Scalability, JSON, Performance Tuning, Text Mining, System Configuration, Geospatial Information and Technology
Mixed · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

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

Skills you'll gain: Marketing Analytics, Google Analytics, Campaign Management, Generative AI, Responsible AI, Customer Analysis, Marketing Automation, Performance Analysis, Social Media Campaigns, Customer Insights, Data Ethics, Personalized Service, OpenAI, ChatGPT, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Responsible AI, Data Ethics, Business Ethics, AI Security, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Case Studies, Legal Risk, Risk Mitigation, Law, Regulation, and Compliance, Decision Making, Workforce Management, Information Privacy, Analysis, Algorithms
Intermediate · Course · 1 - 4 Weeks