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: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Data Analysis, Exploratory Data Analysis, Analytics, Statistical Analysis, Social Sciences, Behavioral Economics, Research, Data Collection, Sociology, Data Transformation, Persuasive Communication, Application Programming Interface (API), Media and Communications, Substance Abuse, Psychology
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Capital Budgeting, Capital Expenditure, Financial Analysis, Cash Flows, Business Valuation, Finance, Financial Modeling, Return On Investment, Financial Statements, Corporate Finance, Risk Analysis, Working Capital, Investments
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Machine Learning, Artificial Intelligence, Interoperability, Model Evaluation, Data Ethics, Model Deployment
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Program Evaluation, Maternal Health, Nutrition and Diet, Child Health, Social Impact, Research Methodologies, Data Collection, Epidemiology, Public Health and Disease Prevention, Health Policy, Mathematical Modeling, Statistical Modeling, Data Analysis Software
Intermediate · Course · 1 - 3 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, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Entrepreneurial Finance, Business Planning, Financial Statements, Growth Strategies, Business Ethics, Intellectual Property, Financial Modeling, Entrepreneurship, Income Statement, Engineering Management, Legal Risk, Business Strategies, Technology Strategies, Organizational Development, Business Modeling, Cash Flows, Business Development, New Business Development, Risk Analysis, Engineering
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Generative AI, Oracle Cloud, Large Language Modeling, AI Enablement, Artificial Intelligence, Supervised Learning, Prompt Engineering, Deep Learning, Machine Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision, Natural Language Processing, Recurrent Neural Networks (RNNs)
Beginner · Course · 1 - 4 Weeks

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