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 California San Diego
Skills you'll gain: Cloud Development, Cloud Computing Architecture, Cloud Computing, Amazon Web Services, Cloud Infrastructure, Cloud Services, Internet Of Things, Amazon Elastic Compute Cloud, Linux Administration, Software Installation, Embedded Systems, Machine Learning, Command-Line Interface, Restful API
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Digital Transformation, Google Workspace, Google Cloud Platform, Business Transformation, Cloud Applications, Cloud Management, Application Development, Productivity Software, Data Storage, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Cost Management, Cloud Infrastructure, Machine Learning
Beginner · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Sampling (Statistics), Statistical Analysis, Business Analytics, Statistics, Quantitative Research, Data Analysis, Data Visualization, Statistical Methods, Data-Driven Decision-Making, Microsoft Excel, Analytical Skills, Descriptive Statistics, Probability Distribution, Influencing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Artificial Intelligence, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Data Manipulation, Machine Learning, Real Estate, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Analysis, Business Ethics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Project Finance, Feasibility Studies, Cost Estimation, Financial Analysis, Project Risk Management, Risk Analysis, Return On Investment, Financial Statements, Financial Modeling, Case Studies, Stakeholder Analysis, Due Diligence, Loans, Cash Flows, Market Analysis
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting
Beginner · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, AI Enablement, AI Product Strategy, Model Evaluation, Data Maintenance, Performance Tuning, Risk Mitigation, Performance Metric, Continuous Monitoring, Systems Integration, Stakeholder Communications
Mixed · Course · 1 - 4 Weeks