Foundations of Data Structures and Algorithms Specialization
Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing. This online data science specialization will teach you the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is ideal for learners interested in programming applications that process large amounts of data and are familiar with the basics of programming in Python.
By completing this specialization, you will be able to:
- Organize, store, and process data efficiently using sophisticated data structures and algorithms
- Design algorithms and analyze their complexity in terms of running time and space usage
- Create applications that are supported by highly efficient algorithms and data structures for the task at hand
- Explain fundamental concepts for algorithmic searching and sorting
Courses
- Algorithms for Searching, Sorting & Indexing
- Trees & Graphs: Basics
- Dynamic Programming, Greedy Algorithms
This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science and MS in Computer Science.