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: Plotly, Interactive Data Visualization, Plot (Graphics), Data Visualization Software, Ggplot2, Exploratory Data Analysis, Data Analysis, Python Programming, Data Science, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Model Evaluation, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Large Language Modeling, Responsible AI, AI literacy, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Predictive Analytics, Predictive Modeling, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Epidemiology, Infectious Diseases, R Programming, Public Health and Disease Prevention, Model Evaluation, Predictive Modeling, R (Software), Public Health
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Model Training, Deep Learning, Artificial Neural Networks, Tensorflow, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, AI literacy, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Risk Analysis, Case Studies, Legal Risk, Risk Mitigation, Law, Regulation, and Compliance, Decision Making, Workforce Management
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Clemson University
Skills you'll gain: Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Machine Interfaces, Human Centered Design, Human Computer Interaction, Generative AI, Machine Learning, Model Evaluation, Ethical Standards And Conduct
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Cambridge
Skills you'll gain: Accrual Accounting, Accruals, Financial Accounting, Financial Modeling, Accounting, Equities, Finance, Financial Market, Capital Markets, Capital Expenditure, Financial Analysis, Financial Reporting, Sustainable Business, Corporate Sustainability, Depreciation, Securities (Finance), Financial Statements, Cash Flows, Loans, Strategic Decision-Making
Intermediate · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Machine Learning Methods, Scripting Languages, Statistical Machine Learning, Scripting, Programming Principles
Intermediate · Specialization · 1 - 3 Months