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 California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Infectious Diseases, Computational Thinking, Life Sciences, Medical Science and Research, Microbiology
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Financial Modeling, Balance Sheet, Financial Statement Analysis, Financial Statements, Revenue Forecasting, Depreciation, Capital Expenditure, Financial Analysis, Financial Forecasting, Business Valuation, International Finance, Working Capital, Business Metrics, Equities, Cash Flows, Forecasting
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Knowledge Accelerators
Skills you'll gain: Microsoft Copilot, Microsoft 365, Microsoft Teams, Microsoft Office, Data Visualization, Productivity Software, Data Literacy, Microsoft Excel, Artificial Intelligence, Technical Communication, Microsoft Word, Microsoft PowerPoint, Generative AI Agents, Productivity, Excel Formulas, Data Analysis, Data-Driven Decision-Making, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: OpenAI API, SQL, ChatGPT, Prompt Engineering, Pandas (Python Package), Natural Language Processing, Data Import/Export, Data Manipulation, Databases, Python Programming, Machine Learning, Software Engineering
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Machine Learning, Unstructured Data, Predictive Modeling, Artificial Intelligence, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
Intermediate · Course · 1 - 4 Weeks

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

Fundação Instituto de Administração
Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Customer Analysis, Statistical Modeling, Statistical Analysis, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Web Analytics, Search Engine Optimization, Analytics, Digital Marketing, Data-Driven Decision-Making, A/B Testing, Data Analysis, Contextual Advertising, Big Data, Key Performance Indicators (KPIs), Customer Data Management, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Consumer Behaviour, Machine Learning
Beginner · Course · 1 - 4 Weeks