Data Science Foundations: Data Structures and Algorithms Specialization

A deep understanding of how data is organized in a computer, as well as how to perform operations such sizing, searching, and indexing efficiently, is essential for building high-performance data science applications. This course will cover the basics of data structures and algorithms, with a particular focus on data science applications. This specialization is for learners who are interested in programming large-scale data processing applications (no need to be an expert in data science) and are familiar with basic programming in Python. We will be learning about data structures such as arrays, hash-tables heaps, trees, graphs and algorithms including searching, traversal, sorting, traversal, and shortest path algorithms.

These courses can be taken for academic credit in the Master of Science in Data Science (MSDS) degree at CU Boulder. The MS-DS degree is an interdisciplinary degree which brings together faculty from CU Boulder's departments in Applied Mathematics, Computer Science and Information Science. The MS-DS is open to individuals with a wide range of undergraduate and/or professional experience in information science, computer science, statistics, and mathematics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.