Data Structures and Algorithms Specialization

This course is designed to provide a deep understanding of data organization and the efficient use of operations such as searching, sorting, and indexing. It is particularly focused on data science applications and is suitable for learners interested in large-scale programming, even without expertise in data science. The course covers the basics of data structures and algorithms, including arrays, hash-tables, heaps, sorting algorithms, searching algorithms, and traversal algorithms.

The course also offers the opportunity to earn academic credit through the Master of Science in Data Science (MSDS) degree at CU Boulder. This degree program is interdisciplinary, bringing together faculty members from CU Boulder's departments in Applied Mathematics, Computer Science, and Information Science. The MS-DS degree is open to individuals with a variety of education and work experience in information science, computer science, statistics, and mathematics.

Overall, this course provides a comprehensive introduction to data structures and algorithms for data science, offering essential knowledge for building high-performance data science applications.