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, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Arizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Data Import/Export, Programming Principles, Data Cleansing
Beginner · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Engineering Analysis, Physics, Numerical Analysis, Simulation and Simulation Software, Mathematical Modeling
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Portfolio Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Calculus
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Governance, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Analysis, Data Management, Model Evaluation, Data Preprocessing, Data Access, Statistical Analysis, Sampling (Statistics), Verification And Validation, Design Strategies, Threat Detection
Beginner · Specialization · 1 - 3 Months

Yonsei University
Skills you'll gain: Cash Flow Forecasting, Cash Flows, Business Valuation, Microsoft Excel, Forecasting, Finance, Financial Modeling, Financial Analysis, Estimation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Advanced · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, LLM Application, Embeddings, Model Deployment, Artificial Intelligence, Application Programming Interface (API)
Beginner · Course · 1 - 4 Weeks