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.

Johns Hopkins University
Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistics, Risk Modeling, Statistical Methods, Simulation and Simulation Software, Estimation, Correlation Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Deep Learning, Machine Learning Methods, Predictive Analytics, FinTech, Applied Machine Learning, Data-Driven Decision-Making, Predictive Modeling, Machine Learning, Digital Transformation, Machine Learning Algorithms, Financial Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Artificial Intelligence, Artificial Neural Networks, Model Optimization, Data Science
Beginner · Course · 1 - 4 Weeks

Yunus Social Business Fund Bengaluru
Skills you'll gain: Business Valuation, Return On Investment, Finance, Financial Analysis, Portfolio Risk, Cost Benefit Analysis, Capital Budgeting, Risk Analysis, Risk Management, Environmental Social And Corporate Governance (ESG), Equities, Financial Modeling, Social Impact, Corporate Finance, Financial Planning, Cash Flows, Decision Making, Correlation Analysis, Probability & Statistics
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Object Oriented Programming (OOP), Plotly, Seaborn, Data Visualization Software, Object Oriented Design, Data Visualization, Pandas (Python Package), NumPy, Statistical Visualization, Plot (Graphics), Interactive Data Visualization, Data Presentation, Software Documentation, Scatter Plots, Technical Documentation, Data Structures, Maintainability, Data Import/Export, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Presentation, Data Visualization, Plot (Graphics), Statistical Visualization, Data-Driven Decision-Making, Dashboard Creation, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Responsible AI, Data Ethics, LLM Application, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, Model Optimization, MLOps (Machine Learning Operations), Information Privacy, Model Deployment, Machine Learning, Deep Learning, Version Control
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Data Analysis, Time Series Analysis and Forecasting, Bayesian Statistics, Decision Making, Statistical Methods, Anomaly Detection, Probability Distribution, Statistical Analysis, Sampling (Statistics), Model Optimization, Clinical Trials
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Structures, Statistics, Data Cleansing, Programming Principles, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
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
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Large Language Modeling, AI literacy, Generative AI, LLM Application, Writing, Data Ethics, Writing and Editing, Responsible AI, Artificial Intelligence, Model Evaluation, Machine Learning, Information Privacy
Beginner · Course · 1 - 4 Weeks