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: SPSS (Software), Statistical Analysis, Data Manipulation, Data Visualization Software, Data Analysis, End User Training and Support, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics, Graphing
Beginner · Course · 1 - 4 Weeks

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: 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: Financial Modeling, Cash Flow Forecasting, Business Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Financial Statements, Dashboard, Variance Analysis, Financial Analysis, Pivot Tables And Charts, Excel Formulas, Financial Forecasting, Financial Modeling, Budget Management, Microsoft Excel, Performance Reporting, Data Validation, Spreadsheet Software, Financial Reporting, Auditing, Cost Management, Data Presentation, Data Storytelling, Business Intelligence, Performance Analysis
Intermediate · Specialization · 3 - 6 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

DeepLearning.AI
Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Plotly, Statistical Reporting, Predictive Modeling, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Data Science, Data Analysis, Classification And Regression Tree (CART), Data-Driven Decision-Making, Pandas (Python Package), Data Wrangling, Data Collection, GitHub
Intermediate · Course · 1 - 3 Months