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.

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Data Management, Data Governance, Information Management, Data Processing, Data Wrangling, AI Workflows, Model Optimization, Applied Machine Learning, Google Cloud Platform, Machine Learning Methods, Data Pipelines, Model Evaluation, AI Orchestration, Machine Learning, Containerization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Workforce Management, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Google Gemini, Gemini, Email Automation, Google Cloud Platform, Personalized Campaigns, AI Personalization, Identity and Access Management, Test Data, Data Store, Model Deployment, AI Integrations, Query Languages, SQL, Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Microsoft Excel, Excel Formulas, Data Storytelling, Mergers & Acquisitions, Data Transformation, Interactive Data Visualization, Spreadsheet Software, Data Presentation, Business Valuation, Financial Modeling, Case Studies, Analysis, Financial Statement Analysis, Financial Analysis, Market Data, Benchmarking
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Data Quality, Unsupervised Learning, Feature Engineering, Model Evaluation, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Fine-tuning, Model Deployment, Data Preprocessing, Model Training, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Application Deployment, Technical Documentation, Technical Writing, Professional Development, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Storytelling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, Big Data, Data Pipelines, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Deployment, Jupyter, Machine Learning, Artificial Intelligence, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Generative AI Agents, Google Gemini, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Infrastructure Architecture, Artificial Intelligence, AI literacy, AI Orchestration, Big Data, Applied Machine Learning, Model Deployment, Model Training, Data Preprocessing, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Health Informatics, Data Analysis, Clinical Informatics, Patient-centered Care, Analytics, Descriptive Analytics, Data Literacy, Data-Driven Decision-Making, Analytical Skills, Decision Intelligence, Statistical Methods, Statistics
Beginner · Course · 1 - 4 Weeks