Statistics for data analysis courses can help you learn descriptive statistics, inferential statistics, hypothesis testing, and regression analysis. You can build skills in data visualization, interpreting results, and making data-driven decisions. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and creating visual representations of data.

IE Business School
Skills you'll gain: Financial Policy, Economics, Policy, and Social Studies, Economics, Public Policies, International Finance, Policy Analysis, Economic Development, Tax, Socioeconomics, Trend Analysis, Global Marketing, Business Economics, International Relations, Political Sciences, Analysis, Fiscal Management, Supply And Demand, Business Risk Management, World History, Policty Analysis, Research, and Development
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months

Advancing Women in Tech
Skills you'll gain: Product Management, Technical Product Management, Product Roadmaps, Product Strategy, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, Competitive Analysis, Market Opportunities, Customer experience strategy (CX), Customer Insights, Innovation, Persuasive Communication, Market Analysis, B2B Sales
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Development Environment, Software Installation, Scripting, Scripting Languages, Debugging, Program Development, Integrated Development Environments, Data Manipulation
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: PHP (Scripting Language), MySQL, Database Application, Database Development, Object Oriented Programming (OOP), Secure Coding, Authentications, Web Applications, SQL, Server Side, Data Validation
Intermediate · Course · 1 - 3 Months

Starweaver
Skills you'll gain: Matlab, Data Visualization, Simulation and Simulation Software, Mathematical Modeling, Data Analysis, Engineering Analysis, Data Integration, Programming Principles, Data Manipulation, Data Structures, Computer Programming, Debugging
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Art History, Ancient History, World History, Anthropology, Research Methodologies
Intermediate · Course · 1 - 3 Months

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
Google Cloud
Skills you'll gain: Google Sheets, Excel Formulas, Spreadsheet Software, Google Workspace, Data Validation, Data Visualization, Data Analysis Expressions (DAX), Productivity Software, Data Storytelling, Data Integration, Data Cleansing
Intermediate · Course · 1 - 3 Months

Yale University
Skills you'll gain: Clinical Trials, Software Development Life Cycle, Medical Devices, Systems Development, Usability, Medical Privacy, Regulatory Affairs, Verification And Validation, Human Factors, Regulatory Requirements, Quality Management Systems, Risk Management, Medical Management, User Interface (UI), Software Design, Healthcare Project Management, Software Testing, Entrepreneurship, Artificial Intelligence and Machine Learning (AI/ML), User Research
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Machine Learning Algorithms, Performance Tuning, Artificial Neural Networks, MLOps (Machine Learning Operations)
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate · Course · 1 - 4 Weeks