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.

Johns Hopkins University
Skills you'll gain: Data Modeling, Graphing, Mathematical Modeling, Algebra, Trigonometry, Linear Algebra, Calculus, Graphical Tools, Mathematical Software, Applied Mathematics, Geometry
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Governance, Data Ethics, Business Ethics, Business Leadership, Organizational Leadership, Governance Risk Management and Compliance, Ethical Standards And Conduct, Policy Development, Human Resource Policies, Culture Transformation, Business Transformation, Stakeholder Engagement, Data Governance, Responsible AI, Policy Analysis, Stakeholder Management, Change Management, Employee Engagement
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Data Persistence, Big Data, Data Processing, Distributed Computing, Scala Programming, JSON, Data Transformation, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Apache Hive, Data Visualization Software, Cloud Storage, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, Database Architecture and Administration, AWS Identity and Access Management (IAM)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Tableau Software, Data Transformation, Data Integration, SQL Server Integration Services (SSIS), Data Visualization Software, Relational Databases, Data Management, Advanced Analytics, Data Manipulation, Data Analysis, Data Cleansing, Business Intelligence, Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis Expressions (DAX), Dashboard, Power BI, Data Visualization, Data Transformation, Data Manipulation, Data Modeling, Data Import/Export, Data Visualization Software, Extract, Transform, Load, Data Analysis, Analytics, Data Cleansing, Performance Analysis, Data Security, Data Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Interactive Data Visualization, Tableau Software, Data Presentation, Data Import/Export, Data Visualization, Data Visualization Software, Business Intelligence, Data Analysis, Data Integration, Data Modeling
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Amazon Redshift, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning
Beginner · Course · 1 - 3 Months