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: Physics, Materials science, Physical Science, Mathematical Modeling, Advanced Mathematics, Calculus, Applied Mathematics
Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
Intermediate · Course · 1 - 3 Months

Fundação Instituto de Administração
Skills you'll gain: Quantitative Research, Survey Creation, Sampling (Statistics), Business Research, Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, AI Enablement, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Cleansing, Data Preprocessing, Data Visualization Software, Descriptive Statistics, Data Validation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Lean Manufacturing, Process Improvement, Process Optimization, Manufacturing and Production, Six Sigma Methodology, Organizational Strategy, Key Performance Indicators (KPIs), Strategic Leadership, Continuous Improvement Process, Operational Analysis, Change Management, Systems Analysis, Simulation and Simulation Software, Sustainable Systems, Operations Research, AI Enablement
Beginner · Course · 1 - 4 Weeks

Clemson University
Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Human Centered Design, Human Computer Interaction, Generative AI, Machine Learning, Model Evaluation, Ethical Standards And Conduct
Build toward a degree
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Clinical Trials, Experimentation, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Research Methodologies, Statistical Analysis
Intermediate · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
Beginner · Guided Project · Less Than 2 Hours