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.
Emory University
Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis
Intermediate Ā· Course Ā· 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Forecasting, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
Beginner Ā· Guided Project Ā· Less Than 2 Hours

University of Michigan
Skills you'll gain: Securities (Finance), Equities, Investments, Financial Analysis, Financial Market, Corporate Finance, Business Valuation, Financial Management, Financial Modeling, Risk Analysis, Cash Flows, Growth Strategies
Intermediate Ā· Course Ā· 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science
Build toward a degree
Intermediate Ā· Course Ā· 1 - 4 Weeks

Edureka
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis
Intermediate Ā· Specialization Ā· 3 - 6 Months
Skills you'll gain: Extract, Transform, Load, Data Analysis, Data Preprocessing, Jupyter, Data Visualization, Unsupervised Learning, Statistical Analysis, Model Evaluation, Exploratory Data Analysis, Data Migration, Machine Learning, Business Analytics, Classification Algorithms, Data Manipulation, Data Cleansing, Data Storytelling, Stakeholder Engagement, Project Scoping, Business Priorities, Business Analysis
Intermediate Ā· Professional Certificate Ā· 3 - 6 Months

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

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner Ā· Specialization Ā· 3 - 6 Months

Duke University
Skills you'll gain: FinTech, Entrepreneurial Finance, Fundraising and Crowdsourcing, Financial Analysis, Financial Modeling, Finance, Private Equity, Financial Services, Credit Risk, Financial Forecasting, Microsoft Excel, Liquidation
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
Mixed Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning
Intermediate Ā· Guided Project Ā· Less Than 2 Hours