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 Illinois Urbana-Champaign
Skills you'll gain: Case Studies, Financial Planning, Risk Modeling, Land Management, Financial Modeling, Commercial Real Estate, Succession Planning, Regulatory Requirements, Risk Mitigation, Blockchain
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Applied Machine Learning, Google Cloud Platform, Image Analysis, Model Deployment, Computer Vision, Machine Learning, Cloud Storage, Cloud API
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Capital Budgeting, Business Valuation, Financial Analysis, Financial Modeling, Return On Investment, Financial Market, Finance, Investment Banking, Corporate Finance, Risk Management
Intermediate · Guided Project · Less Than 2 Hours

Fundação Instituto de Administração
Skills you'll gain: Deep Learning, Predictive Analytics, FinTech, Data-Driven Decision-Making, Machine Learning, Digital Transformation, Analytics, Artificial Intelligence, Artificial Neural Networks, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Income Statement, Business Valuation, Investment Banking, Balance Sheet, Capital Markets, Fundraising, Equities, Underwriting, Financial Modeling, Securities (Finance), Entrepreneurial Finance, Financial Forecasting, Go To Market Strategy, Financial Market, Corporate Finance, Market Dynamics, Market Analysis
Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Portfolio Management, Responsible AI, Asset Management, Portfolio Risk, AI Enablement, Investment Management, Generative AI, AI Personalization, Financial Services, Artificial Intelligence, ChatGPT, Risk Management, Risk Analysis, Continuous Monitoring, Real Time Data, Correlation Analysis
Intermediate · Course · 1 - 4 Weeks

University of Leeds
Skills you'll gain: Responsible AI, AI Enablement, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), digital literacy, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks