Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.
University of Alberta
Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Vector Databases, Data Management, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages, Analytics
Intermediate · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation
Intermediate · Course · 1 - 3 Months
University of London
Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Modeling, Algebra, Cryptography, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Financial Auditing, Auditing, Generally Accepted Auditing Standards, Auditors Report, External Auditing, Certified Public Accountant, Audit Planning, Quality Assurance and Control, Ethical Standards And Conduct, Financial Statements, Financial Reporting, Risk Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months

California Institute of the Arts
Skills you'll gain: Photo Editing, Graphic and Visual Design, Layout Design, Design Research, Visual Design, Adobe InDesign, Design, Design Elements And Principles, Storytelling, Digital Publishing, Aesthetics, Color Theory, Creativity, Peer Review
Beginner · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Compassion, Social Justice, Communication, Empathy, Social Impact, Liberal Arts, Social Sciences, Cultural Diversity, Creativity, Research, Psychology, Ethical Standards And Conduct, Neurology
Beginner · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
Beginner · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months