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 Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Preprocessing, Data Wrangling, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Health Informatics, Statistical Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Business Analytics, Statistical Programming, Estimation, Data Science, Probability & Statistics, Probability
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Kinesiology, Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Medical Equipment and Technology, Artificial Intelligence and Machine Learning (AI/ML), Predictive Analytics, Health Technology, Machine Learning, Data-Driven Decision-Making, Epidemiology, Load Balancing, Decision Tree Learning, Health Education, Systems Engineering, Psychological Evaluations
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Wrangling, Data Preprocessing, Tidyverse (R Package), Data Processing, R (Software), Data Management
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning
Beginner · Course · 1 - 3 Months

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: Excel Formulas, Public Health and Disease Prevention, Statistical Methods, Time Series Analysis and Forecasting, Anomaly Detection, Exploratory Data Analysis, Descriptive Analytics
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Data Visualization, Statistical Visualization, Plot (Graphics), Interactive Data Visualization, Data Presentation, Scatter Plots, Heat Maps, Data Analysis
Intermediate · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Large Language Modeling, Financial Trading, Applied Machine Learning, Financial Market, Asset Management, Machine Learning Methods, Autoencoders, LLM Application, Statistical Machine Learning, Machine Learning, Portfolio Management, Model Optimization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Financial Analysis, Risk Management
Intermediate · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, AI Security, Large Language Modeling, Google Cloud Platform, AI Enablement, AI Integrations, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 4 Weeks