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 Colorado Boulder
Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Data Processing, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Customer Analysis, Data Integration, Interactive Data Visualization, Dashboard, Data Visualization, Data Analysis, Customer Insights, Data-Driven Decision-Making, Data Analysis Software, Exploratory Data Analysis, Presentations, Analytics, Technical Communication, Data Visualization Software, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks

AI CERTs
Skills you'll gain: Model Evaluation, Data Analysis, Applied Machine Learning, Environmental Regulations, Environment and Resource Management, Geospatial Information and Technology, Computer Vision, Environment Health And Safety, Environment, Operations, Operations Management, Workforce Development
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Social Media Marketing, Social Media, Social Media Strategy, Social Media Campaigns, Instagram, Facebook, Brand Awareness, Marketing, Content Marketing, Marketing Strategy and Techniques, Marketing Analytics, Web Analytics, Drive Engagement, Business
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Generative AI, Large Language Modeling, Supervised Learning, Applied Machine Learning, Artificial Intelligence, Responsible AI, Machine Learning, Healthcare Industry Knowledge, Data Ethics, AI Personalization, Predictive Analytics, Precision Medicine, Health Informatics
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Hypertext Markup Language (HTML), Web Development Tools, Web Design, Web Development
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Adobe Illustrator, Logo Design, Creative Design, Graphic and Visual Design, Style Guides, Project Design, Digital Design, Typography, Layout Design, File Management, Design Elements And Principles, Design Specifications, Color Theory
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence, Exploratory Data Analysis, Data Cleansing, Data-Driven Decision-Making, Real Time Data, Data Analysis, AI Workflows, Data Processing, Pandas (Python Package), Automation, Data Validation
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Climate Change Mitigation, Climate Change Adaptation, Environment, Sustainable Development, Physical Science, Environmental Science, Social Impact, Environmental Policy, Mathematical Modeling, Trend Analysis, Data Collection
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months