Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.

University of California, Irvine
Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis
Beginner · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistics, Research Design, Statistical Analysis, Probability & Statistics, Microsoft Excel, Research, R Programming, Data Presentation, Surveys, Data Collection, Research Reports, Data Ethics
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Qualitative Research, Market Research, Quantitative Research, Data-Driven Decision-Making, Benchmarking, Data Presentation, Descriptive Statistics, Competitive Analysis, Analytical Skills, Research Design, Market Dynamics, Data Analysis, Data Visualization Software, Statistics, User Research, Data Collection, Data Analysis Software, Microsoft Excel, R Programming
Intermediate · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Presentation, Responsible AI, Data Storytelling, Prompt Engineering, Data Analysis, AI Enablement, Oral Expression
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Security, Intrusion Detection and Prevention, Email Security, Incident Response, Application Security, Computer Security Incident Management, Cyber Attacks, Infrastructure Security, Cyber Threat Intelligence, Threat Detection, Web Applications, Malware Protection, Network Security, Threat Management, Security Information and Event Management (SIEM), Network Monitoring, Data Security, Digital Forensics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Business Analysis, Analysis, Business Process, Business Requirements, Business Process Modeling, Requirements Analysis, Stakeholder Engagement, Customer Relationship Management, Risk Management, Ethical Standards And Conduct
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours