Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Planning, Professional Networking, Business Research, Goal Setting, Personal Development, Market Research, Adaptability, Self-Awareness, Market Analysis, Decision Making, Creativity, Trend Analysis
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications
Intermediate · Guided Project · Less Than 2 Hours

Tecnológico de Monterrey
Skills you'll gain: Customer Engagement, Target Market, Digital Advertising, Customer Retention, Search Engine Optimization, Digital Media Strategy, Lead Generation, Digital Marketing, Marketing Strategies, Customer Acquisition Management, Customer experience strategy (CX), Cash Flows, Web Analytics, Market Research
Beginner · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistical Methods, Calculus, Mathematical Theory & Analysis
Mixed · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Case Studies
Build toward a degree
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Patient Safety, Performance Measurement, Data Analysis, Value-Based Care, Continuous Quality Improvement (CQI), Data Analysis Software, Health Policy, Data Quality, Descriptive Statistics, Data Integration, Statistical Inference
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Big Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Artificial Neural Networks, Model Evaluation
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks