Comprehensive data science course covering data collection, preprocessing, analysis, and visualization. Taught by renowned expert Steven Skiena at Stony Brook University.
University CoursesMachine LearningPythonR
Introduction
This course covers the fundamental concepts and techniques of data science, including data collection, preprocessing, analysis, and visualization. It is taught by Professor Steven Skiena at Stony Brook University.
Highlights
Comprehensive coverage of data science topics
Hands-on exercises and projects using real-world datasets
Taught by a renowned expert in the field of data science
Recommendation
This course is recommended for students and professionals interested in learning the principles and applications of data science. It provides a solid foundation for those looking to pursue a career in data-driven fields.
YouTube Videos
How GetVM Works
Learn by Doing from Your Browser Sidebar
Access from Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Select Your Playground
Choose your OS, IDE, or app from our playground library and launch it instantly.
Learn and Practice Side-by-Side
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.