Data visualization courses can help you learn how to create compelling charts, graphs, and dashboards, along with understanding data storytelling and visual design principles. You can build skills in interpreting data trends, selecting appropriate visual formats, and conveying insights effectively to diverse audiences. Many courses introduce tools like Tableau, Power BI, and D3.js, that support transforming raw data into visual narratives and making data-driven decisions in various fields.
McMaster University
Skills you'll gain: Peer Review, Finance, Financial Market, Financial Analysis, Cash Flows, Financial Modeling, Capital Markets, Investments, Derivatives, Business Valuation, Financial Policy, Financial Data, Equities, Project Design, Market Dynamics, Risk Management, Business Mathematics, Market Trend, Credit Risk, Project Documentation
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Credit Risk, Operational Risk, Portfolio Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Risk Analysis, Derivatives, Governance, Portfolio Management, Capital Markets, Financial Analysis, Market Data, Key Performance Indicators (KPIs)
Beginner · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Maintenance, Google Cloud Platform, Data Pipelines, Data Storage, Data Analysis, Data Processing, Data Infrastructure, Cloud Storage, Data Management, Data Migration, Cloud Security, Data Strategy, Automation, Test Planning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Image Analysis, Natural Language Processing
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Text Mining, Theoretical Computer Science, Computational Thinking
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Embedded Systems, Electronic Hardware, Embedded Software, Hardware Design, Electronics Engineering, Electronics, Electronic Components, Thermal Management, Design Specifications, Debugging, Schematic Diagrams, Development Environment
Build toward a degree
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Advanced · Course · 1 - 3 Months