Statistical modeling courses can help you learn regression analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting statistical results, validating models, and making predictions based on data. Many courses introduce tools like R, Python, and Excel, that support implementing statistical methods and analyzing datasets effectively.

Universidades AnƔhuac
Skills you'll gain: Innovation, Entrepreneurship, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), New Product Development, Business Transformation, Business Modeling, Case Studies, Product Development, Emerging Technologies, Digital Transformation, Prototyping, Algorithms, AI literacy, Machine Learning Algorithms, Big Data, Machine Learning
ā 4.8 (12) Ā· Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Statistical Methods, Statistical Programming, Regression Analysis, R (Software), Predictive Analytics, Data Analysis, Model Evaluation, Statistical Software, Statistical Modeling, Statistical Hypothesis Testing, Software Installation, Data Cleansing, Data Management
Beginner Ā· Course Ā· 3 - 6 Months

Scrimba
Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, LangChain, Embeddings, Generative AI Agents, LLM Application, Tool Calling, Agentic systems, Artificial Intelligence, Generative AI, Large Language Modeling, Application Development
Intermediate Ā· Course Ā· 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Google Cloud Platform, Applied Machine Learning, Data Pipelines, AI Integrations, Machine Learning
Intermediate Ā· Project Ā· Less Than 2 Hours
University of Colorado Boulder
Skills you'll gain: Control Systems, Simulation and Simulation Software, Simulations, Mechanics, Engineering Analysis, Torque (Physics), Mathematical Modeling, Numerical Analysis, Differential Equations, Applied Mathematics
Advanced Ā· Course Ā· 1 - 3 Months

Johns Hopkins University
Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Debugging, File I/O, Data Analysis, Simulations, Programming Principles, Code Reusability, Data Import/Export, Data Processing, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Analytics, Database Development, Data Infrastructure, Model Training, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Modeling, Cloud Security, Data Visualization, Interactive Data Visualization, Data Storage Technologies
ā 4.7 (14) Ā· Advanced Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
ā 4.6 (14) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

University of Michigan
Skills you'll gain: ChatGPT, Generative AI, AI literacy, LLM Application, Large Language Modeling, Data Ethics, Responsible AI, Artificial Intelligence, Natural Language Processing, Economics, Policy, and Social Studies, Law, Regulation, and Compliance, Social Sciences, Ethical Standards And Conduct, Intellectual Property
ā 4.3 (6) Ā· Mixed Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Transformation, Data Science, Data Analysis, R (Software), R Programming, Software Installation
ā 4.7 (107) Ā· Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Model Training, Customer Analysis, Predictive Modeling, Scientific Visualization, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data-Driven Marketing, Logistic Regression, Data Cleansing, Data Manipulation, Machine Learning, Python Programming, Deep Learning
ā 4.6 (10) Ā· Beginner Ā· Guided Project Ā· Less Than 2 Hours

Northeastern University
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Structures, Statistics, Data Cleansing, Programming Principles, Descriptive Statistics
Mixed Ā· Course Ā· 1 - 4 Weeks