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.

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, AI Enablement, Business Analytics, Operational Analysis, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Process Improvement and Optimization, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Decision Making, Resource Allocation, Performance Analysis, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Portfolio Management, Wealth Management, Tax Management, Portfolio Risk, Business Risk Management, Asset Management, Investments, Private Equity, Capital Markets, Risk Management, Return On Investment, Risk Analysis, Real Estate, Market Liquidity, Derivatives, Insurance
Beginner · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Model Deployment, Generative AI Agents, AI Orchestration, Tool Calling, Context Management, Prompt Engineering, Enterprise Architecture, Model Evaluation, Embeddings, Vector Databases
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Alex Genadinik
Skills you'll gain: Active Listening, Social Skills, Emotional Intelligence, Professional Development, Rapport Building, Interpersonal Communications, Personal Development, Empathy, Relationship Building, Constructive Feedback, Communication, Non-Verbal Communication
Mixed · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Statistical Methods, Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture
Intermediate · Course · 1 - 3 Months

University of California, Santa Barbara
Skills you'll gain: Balance Sheet, Depreciation, Financial Reporting, Financial Accounting, Financial Statements, Technical Accounting, Generally Accepted Accounting Principles (GAAP), Capital Expenditure, Equities, Accrual Accounting, Fixed Asset, Finance, Accounts Receivable, Analysis, Estimation, Corporate Finance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsive Web Design, Video Game Development, HTML and CSS, Web Design, Animation and Game Design, Front-End Web Development, Web Development, Interactive Design, Computer Graphics, Javascript
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations
Intermediate · Course · 3 - 6 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months