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.

Amazon Web Services
Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, AI Enablement, AI Security, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Model Deployment, Machine Learning, Data Governance
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Deployment, Data Strategy, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Performance Tuning, Dataflow, Embeddings
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning
Mixed · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Health Disparities, Social Determinants Of Health, Health Equity, Maternal Health, Statistical Software, Box Plots, Data Analysis, Health Policy, Child Health, Socioeconomics, Health Informatics, Statistical Hypothesis Testing, Public Health, Data Visualization, Diversity Awareness, Policy Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Data Analysis, Performance Measurement, Statistical Methods, R (Software), Business Metrics, R Programming, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Deep Learning, Data Ethics, Machine Learning, Business Solutions, Data Access, Data Quality
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Credit Risk, Risk Modeling, Financial Modeling, Portfolio Risk, Lending and Underwriting, Risk Management, Bank Regulations, Regulatory Compliance, Financial Analysis
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Sampling (Statistics), Descriptive Statistics, Probability Distribution, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Microsoft Excel, Statistical Visualization, Graphing, Influencing
Beginner · Course · 1 - 3 Months

Packt
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
Beginner · Guided Project · Less Than 2 Hours