Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Model Training, Customer Analysis, Predictive Modeling, Scientific Visualization, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data-Driven Marketing, Logistic Regression, Data Cleansing, Data Manipulation, Machine Learning, Python Programming, Deep Learning
★ 4.6 (10) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Tidyverse (R Package), Data Processing, Data Cleansing, Statistical Programming, Programming Principles, Data Structures
Beginner · Course · 1 - 3 Months

Skills you'll gain: Financial Modeling, Entrepreneurial Finance, Business Valuation, Entrepreneurship, Financial Analysis, Finance, Financial Forecasting, Return On Investment, Financial Statement Analysis, Balance Sheet, Financial Statements, Equities, Income Statement
★ 4.8 (13) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Applied Machine Learning, Machine Learning
★ 4.3 (23) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Generative Model Architectures, LLM Application, Agentic systems, AI Security, Law, Regulation, and Compliance, Agentic Workflows, Discussion Facilitation, Regulatory Requirements, Regulatory Compliance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), Analytics, Machine Learning
Beginner · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Statistical Process Controls, Product Quality (QA/QC), Quality Management, Quality Management Systems, Quality Improvement, ISO 9000 Series, Quality Assessment, Quality Monitoring, Continuous Improvement Process, Service Improvement, Continuous Quality Improvement (CQI), Customer experience improvement, Quality Assurance, Quality Control, Customer experience strategy (CX), Process Improvement, Technical Standard, User Feedback, Customer Insights, Customer Engagement
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Collection, Data Processing, Data Preprocessing, Data Analysis, Verification And Validation, Data Access, Design Strategies
★ 5 (8) · Beginner · Course · 1 - 4 Weeks
CertNexus
Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Methods, Data Storytelling, Stakeholder Engagement, Machine Learning Algorithms, Presentations, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Model Training, Model Optimization, Web Applications, Continuous Deployment, Project Closure, Data-Driven Decision-Making, Solution Delivery, Data Visualization, Data Science, Communication
Intermediate · Course · 1 - 4 Weeks

Universidad Nacional de Colombia
Skills you'll gain: Mathematical Modeling, Machine Learning Methods, Computational Logic, Mathematics and Mathematical Modeling, Mathematical Software, Model Optimization, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Arithmetic
★ 5 (48) · Intermediate · Course · 1 - 4 Weeks