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 Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Analysis, Business Reporting, Statistical Programming
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Stakeholder Management, Product Management, Product Development, New Product Development, Wireframing, Financial Statements, Product Design, User Experience Design, Team Leadership, Prototyping, Competitive Analysis, Commercialization, Product Lifecycle Management, Financial Modeling, Value Propositions, Proposal Writing, Innovation, Target Market, Market Opportunities, Ideation
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months

University of North Texas
Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Visualization, Jupyter, Data Literacy, Tableau Software, Matplotlib, Data Presentation, Data Visualization Software, Data Preprocessing, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Classification Algorithms, Excel Macros, Predictive Modeling, Machine Learning, Python Programming
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks