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: Bioinformatics, Molecular Biology, Infectious Diseases, Computational Thinking, Life Sciences, Medical Science and Research, Microbiology
Beginner · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Financial Analysis, Risk Analysis, Financial Modeling, Competitive Analysis, Market Analysis, Business Strategy, Growth Strategies, Business Strategies, Business Analysis, Business Modeling, Analysis, Business Risk Management, Market Share, Competitive Intelligence, Strategic Marketing, Strategic Planning
Beginner · Course · 1 - 3 Months

Universidad Nacional de Colombia
Skills you'll gain: Intellectual Property, Statistical Analysis, Keyword Research, Analysis, Competitive Intelligence, Market Research, Technical Standard, Law, Regulation, and Compliance, Data Analysis, Innovation, Databases
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Survey Creation, Interviewing Skills, Data Collection, Research Design, Qualitative Research, Research, Cultural Sensitivity, Statistical Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: OpenAI, AI Enablement, Artificial Intelligence, AI Product Strategy, Generative AI, ChatGPT, Emerging Technologies, Responsible AI, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
Mixed · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Beginner · Specialization · 1 - 3 Months