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: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Google Workspace, Collaborative Software, Descriptive Statistics, Descriptive Analytics, Data Presentation, Data Manipulation, Data Management, Cloud Computing
★ 2.4 (7) · Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Machine Learning Methods, Supervised Learning, Statistical Methods, Statistics, Data Literacy, Probability, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Computer Programming, Mathematics and Mathematical Modeling, Data Processing
Intermediate · Course · 1 - 3 Months

Politecnico di Milano
Skills you'll gain: Health Policy, Economics, Policy, and Social Studies, Epidemiology, Crisis Management, Environmental Monitoring, Policy Analysis, Research, and Development, Emergency Response, Data Literacy, Spatial Data Analysis, Infection Control, Socioeconomics, Geographic Information Systems, Geospatial Information and Technology, Public Health, Public Health and Disease Prevention, Infectious Diseases, Data Science, Financial Systems, Financial Modeling, Finance
★ 4.5 (6) · Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Responsible AI, Data Ethics, AI Security, Artificial Intelligence, Data Governance, Dependency Analysis, Law, Regulation, and Compliance, Machine Learning, AI literacy, Ethical Standards And Conduct, Data-Driven Decision-Making, Data Integrity, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Data Quality, Risk Management Framework, Model Evaluation, Data Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, AI Security, Large Language Modeling, Google Cloud Platform, AI Enablement, AI Integrations, Data Literacy, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Campaign Planning, Data Integrity
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Web Scraping, Rmarkdown, Leaflet (Software), Spatial Data Analysis, Cloud Storage, Geospatial Mapping, Interactive Data Visualization, Geospatial Information and Technology, Geographic Information Systems, Data Storage, Microsoft Azure, Data Collection, R Programming, Data Ethics, R (Software), AI Workflows, Statistical Reporting, Cloud Management, Data Wrangling, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, AI powered creativity, Visual Storytelling, Prompt Engineering Tools, AI literacy, Artificial Intelligence, Image Analysis, Natural Language Processing, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning
★ 4.7 (13) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
Advanced · Course · 1 - 3 Months

Skills you'll gain: Pivot Tables And Charts, Dashboard, Dashboard Creation, Microsoft Excel, Financial Modeling, Excel Macros, Data Presentation, Interactive Data Visualization, Data Import/Export, Data Visualization, Spreadsheet Software, Data Modeling, Forecasting, Workflow Management, Statistical Methods, Excel Formulas, Simulation and Simulation Software, Data Storytelling, Finance, Data Analysis
Beginner · Specialization · 3 - 6 Months