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: Sustainability Reporting, Financial Analysis, Financial Statement Analysis, Cost Estimation, Environmental Social And Corporate Governance (ESG), Capital Budgeting, Budgeting, Cost Benefit Analysis, Project Risk Management, Risk Analysis, Income Statement, Cost Management, Financial Modeling, Investment Management, Balance Sheet, Risk Management, Financial Reporting, Financial Forecasting, Project Finance, Finance
Build toward a degree
Beginner · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Financial Accounting, Financial Reporting, Process Analysis, Income Statement, Operational Efficiency, Business Operations, Capital Budgeting, Marketing, Cash Flows, Finance, Financial Acumen, Production Management, Strategic Marketing, Marketing Strategies, Financial Modeling, Business Strategy
Beginner · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Inventory Control, Inventory Management, Inventory Accounting, Operations Management, Supply Chain Management, Microsoft Excel, Supply Chain Planning, Order Management, Warehouse Management, Demand Planning, Logistics Management, Excel Formulas, Service Level, Operations, Data Management, Customer Data Management, Forecasting, Data Collection, Stakeholder Engagement
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
Intermediate · Specialization · 3 - 6 Months

École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Entrepreneurial Finance, Business Modeling, Entrepreneurship, Product Development, Growth Strategies, Customer Insights, Financial Modeling, Business Strategies, Case Studies, Revenue Management, Market Dynamics, Finance
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics
Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks