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 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

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, Generative AI Agents, LLM Application, Data Persistence, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, AI Personalization, Artificial Intelligence, Data Storage, Embeddings, Context Management, Vector Databases, Application Programming Interface (API), Databases
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Test Automation, Test Case, Software Testing, Automation, Continuous Integration, Acceptance Testing, Test Execution Engine, Integration Testing, Test Planning, Mobile Development
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Analysis, Statistical Analysis, Unsupervised Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Anomaly Detection, Descriptive Statistics, Correlation Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Communication Planning, Stakeholder Management, Organizational Structure, Project Documentation, Project Management, Project Management Life Cycle, Stakeholder Analysis, Project Scoping, Planning, Project Planning, Requirements Management, Financial Analysis, Business Analysis, Case Studies, Peer Review
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Generative AI Agents, Agentic systems, OpenAI API, Enterprise Application Management, Tool Calling, OAuth, Middleware, Performance Tuning, Real Time Data, Interoperability, API Gateway, Agentic Workflows, Software Development Tools, LLM Application, Prompt Engineering, Retrieval-Augmented Generation, Application Programming Interface (API)
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: User Story, Agile Software Development, Scrum (Software Development), Agile Methodology, Kanban Principles, Backlogs, Sprint Retrospectives, Agile Project Management, Workflow Management, Sprint Planning, Team Management, Product Requirements, Lean Methodologies, Performance Measurement
Beginner · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 4 Weeks