Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.

Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, User Accounts
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: No-Code Development, Cloud Applications, Google Sheets, Google Workspace, Google Cloud Platform, Data Integration, Microsoft Excel
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Requirements Elicitation, Business Analysis, Business Requirements, Requirements Analysis, Business Process, Product Roadmaps, Stakeholder Analysis, Agile Methodology, Needs Assessment, Business Communication
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Mental Health, Mindfulness, Community Health, Social Justice, Health Equity, Stress Management, Public Health, Infectious Diseases, Media and Communications, Social Sciences, Liberal Arts, Diversity Awareness, Cultural Responsiveness, Learning Strategies, Biology, Health Care
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: AI Security, Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Secure Coding, Artificial Intelligence, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Data Ethics, Authentications
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Case Studies, Emerging Technologies, Technology Strategies, Digital Transformation, Business Transformation, AI Security, Business Solutions, Real Time Data, Internet Of Things, Application Security, Wireless Networks, Telecommunications, Data Security, Artificial Intelligence, Information Privacy
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Employee Surveys, Surveys, User Feedback, Security Awareness, Cloud Security, Business Software, Data Sharing, Email Automation, Collaborative Software, Business Technologies
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unified Modeling Language, Visual Basic (Programming Language), Data Structures, Object Oriented Design, Data Modeling, Microsoft Visual Studio, Program Development, Programming Principles, Object Oriented Programming (OOP), .NET Framework, Computer Programming
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Web Scraping, Restful API, Network Protocols, JSON, Extensible Markup Language (XML), TCP/IP, Application Programming Interface (API), Data Import/Export, Hypertext Markup Language (HTML), Data Processing, Python Programming, Software Installation, Development Environment
Mixed · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Beginner · Course · 1 - 3 Months