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.

Skills you'll gain: Investment Banking, Business Valuation, Equities, Underwriting, Capital Markets, Securities (Finance), Entrepreneurial Finance, Financial Analysis, Financial Modeling, Fundraising, Market Dynamics
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Ethics, No-Code Development, Model Deployment, Data Cleansing, Data Preprocessing, Artificial Intelligence, Machine Learning, Business Metrics, Data Storytelling, User Experience Design, Generative AI, Business Analytics, Regulation and Legal Compliance, AI Workflows, Scalability, Data Validation, Dashboard, Automation, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
Mixed · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Entrepreneurship, Growth Strategies, Business Planning, Financial Modeling, Cost Accounting, Product Development, New Product Development, Business Strategies, Business Development, Value Propositions, Investments, Presentations, Business Metrics, Customer Acquisition Management, Fundraising
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cash Flows, Business Valuation, Financial Statement Analysis, Financial Analysis, Balance Sheet, Financial Modeling, Profit and Loss (P&L) Management, Business Metrics, Case Studies, Return On Investment, Financial Forecasting, Market Analysis, Market Dynamics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Hedge Accounting, Portfolio Risk, Risk Modeling, Risk Management, Risk Analysis, Risk Management Framework, Investment Management, Regression Analysis, Accounting, Portfolio Management, Financial Analysis, Analysis, Statistical Analysis, Derivatives, Fund Accounting, Financial Trading, Case Studies, International Finance, Tax Laws
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Financial Modeling, Business Valuation, Revenue Forecasting, Working Capital, Cash Flows, Financial Statement Analysis, Financial Analysis, Financial Data, Financial Forecasting, Business Modeling, Balance Sheet, Capital Expenditure, Corporate Finance, Cash Flow Forecasting, Income Statement
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
Mixed · Course · 1 - 3 Months