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.

Stanford University
Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Data Transformation, SPSS (Software), SPSS, Descriptive Analytics, Data Visualization, Logistic Regression, Regression Analysis, Correlation Analysis, Analytics, Data Presentation, Data Preprocessing, Descriptive Statistics, Business Analytics, Statistical Modeling, Advanced Analytics, Data Analysis, Exploratory Data Analysis, Market Data, Statistical Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Visualization, Statistical Hypothesis Testing, Data Visualization Software, Interactive Data Visualization, Data Presentation, Health Informatics, Data Analysis, Healthcare Ethics, Technical Communication, Supervised Learning, Looker (Software), Statistical Analysis, Statistics, Predictive Analytics, Health Care, Healthcare Industry Knowledge, Data Literacy, Health Technology, Regression Analysis
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Classification And Regression Tree (CART), Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Statistical Hypothesis Testing, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, DevOps, CI/CD, Model Deployment, Performance Tuning, Model Evaluation, Secure Coding, Continuous Monitoring, Integration Testing, Data Validation, Sampling (Statistics), Statistical Methods, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, PySpark, Generative AI, Large Language Modeling, Feature Engineering, Deep Learning, Text Mining, Natural Language Processing, Transfer Learning, Unstructured Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Data Pipelines, Distributed Computing, Model Evaluation, Unsupervised Learning, Scalability
Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Web Analytics, Customer Analysis, Customer Insights, Analytics, User Feedback, Business Analytics, Analysis, Root Cause Analysis, User Flows, Performance Analysis, Data Presentation, Performance Metric, Key Performance Indicators (KPIs), Statistical Analysis, Data Capture, Taxonomy
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months