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 System
Skills you'll gain: Clinical Data Management, Clinical Research, Data Quality, Health Informatics, Time Series Analysis and Forecasting, Data Cleansing, Data Analysis, Data Modeling, Data Science, Analytical Skills, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Analysis, Business Ethics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Return On Investment, Capital Budgeting, Finance, Financial Modeling, Corporate Finance, Financial Management, Financial Analysis, Business Valuation, Financial Market, Cash Flows, Securities (Finance), Asset Management
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning, Classification Algorithms, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

University of Cambridge
Skills you'll gain: Financial Acumen, Variance Analysis, Financial Forecasting, Cash Flows, Financial Analysis, Financial Modeling, Financial Reporting, Cost Estimation, Financial Statements, Return On Investment, Accounting, Project Estimation, Budgeting, Microsoft Excel, Business Modeling
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: ISO 9000 Series, Food Quality Assurance And Control, Quality Assurance and Control, Food and Beverage, Quality Assessment, Quality Management, Hazard Analysis, Standard Operating Procedure, Statistical Process Controls, Cost Control, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Utrecht University
Skills you'll gain: Epidemiology, Environmental Monitoring, Medical Science and Research, Social Determinants Of Health, Biostatistics, Public Health, Environmental Science, Data Science, Statistical Analysis, Cardiology, Research
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Financial Data, Microsoft Excel, Spreadsheet Software, Excel Formulas, Microsoft 365, Financial Modeling, Mortgage Loans, Timelines
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Machine Learning, Data Preprocessing
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
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 Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks