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.

University of California, Davis
Skills you'll gain: Innovation, Digital Transformation, Digital Communications, digital literacy, Digital Analysis, Process Development, Data Storage, Media and Communications, Fundraising and Crowdsourcing, Social Impact, Artificial Intelligence, AI literacy, Information Privacy, Machine Learning
★ 4.5 (11) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Research Reports, Report Writing, Case Studies, Financial Reporting, Business Writing, Business Reporting, Technical Writing, Analysis, Data Analysis, Financial Analysis, Writing, Equities, Financial Modeling, Predictive Analytics, Data Science, Credit Risk, Predictive Modeling, Machine Learning, R Programming, Logistic Regression
★ 4.9 (30) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
★ 4.3 (7) · Intermediate · Course · 1 - 4 Weeks

University of Geneva
Skills you'll gain: Data-oriented programming, Memory Management, Object Oriented Design, System Programming, Microarchitecture, Performance Testing, Hardware Architecture, Data Access
★ 4.4 (7) · Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Artificial Intelligence, AI literacy, Responsible AI, Generative AI, Open Source Technology, Large Language Modeling, Machine Learning, Model Evaluation
★ 4.8 (31) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Optimization, Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Governance, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Mathematics and Mathematical Modeling, Computer Science, Algorithms
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Wrangling, Data Cleansing, Data Integration, Tidyverse (R Package), R Programming, Data Quality, R (Software), Data Processing, Data Preprocessing
★ 4.5 (26) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Lean Methodologies, Operational Excellence, Process Mapping, Process Improvement and Optimization, Data-Driven Decision-Making, Process Optimization, Workflow Management, Process Analysis, Stakeholder Management, Six Sigma Methodology, Operational Efficiency, Process Improvement, Business Process Improvement, Business Workflow Analysis, Productivity, Kaizen Methodology, Continuous Improvement Process, Root Cause Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Financial Forecasting, Risk Management, Predictive Modeling, Financial Data, Risk Analysis, Generative AI, Financial Modeling, Financial Analysis, Predictive Analytics, Market Data, Financial Statement Analysis, Data-Driven Decision-Making, Market Trend, Investment Management, Portfolio Management, Financial Reporting, Analysis, Automation
★ 4 (9) · Beginner · Course · 1 - 4 Weeks