Learn Data Science
Learn to analyze complex data, build machine learning models, and turn findings into actionable insights using Python and SQL.
Browse our full catalog of programs and courses. Pick what fits — or let us help you build the perfect program.
Learn to analyze complex data, build machine learning models, and turn findings into actionable insights using Python and SQL.
Learn to lead frontline teams with stronger communication, coaching, decision-making, and operational skills.
Build the skills to prospect effectively, uncover customer needs, communicate value, manage opportunities, and close deals with confidence.
Learn to build and manage the server-side systems, databases, APIs, and infrastructure that power web applications.
Learn to build responsive web experiences with HTML, CSS, JavaScript, React, and modern frontend development tools.
Learn to build and manage the systems that make reliable data accessible, organized, and ready for analysis.
Build practical digital marketing skills—and learn to use AI across modern workflows—to create campaigns, reach audiences, and improve performance.
Learn to manage technical projects from planning through delivery using predictive, Agile, and Scrum methodologies.
Apply foundational data analysis concepts to interpret data and generate meaningful insights for business decision-making.
Learn fundamental skills required to analyze and visualize data effectively - using Excel, SQL, and Tableau - to drive business outcomes.
Produce a comprehensive portfolio showcasing measurable UX impact, accessibility compliance, business outcomes, and AI-enhanced design processes to prepare for entry-level UX, UI, and product designer roles.
Apply SQL querying skills to extract, manipulate, and analyze data.
Discuss web design in the age of innovation and the role of AI in solving web design problems
Use essential web development tools, including code editors, browser developer tools, version control, and AI-assisted coding tools, to streamline workflows and debug projects.
Apply user interviews, surveys, usability testing, and basic analytics to gather and synthesize actionable user needs that inform design decisions.
Apply Python data analysis libraries to prepare datasets for advanced analysis.
Apply foundational AI concepts to real-world STEM scenarios to strengthen your problem-solving skills and demonstrate how AI connects to your field.
Apply data governance, data quality, and security roles to a real-world data analytics project.
Complete a data project through a data lifecycle from collection to analysis to visualization
Synthesize the full UX design process, connecting each phase to business objectives and user needs.
Demonstrate the skills and tools essential data analytics that can be implemented to address real-world business challenges.
Style web pages using CSS by applying selectors, properties, and layouts to create visually appealing, responsive designs that enhance user experience.
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