Data Science Foundations: Data Structures and Algorithms Specialization by University of Colorado Boulder
Building fast and high-performance data science applications necessitates a thorough understanding of how data is arranged on a computer and how to perform operations like sorting, searching, and indexing efficiently. The principles of data structures and algorithms will be covered in this course, with a focus on data science applications. Data Science Foundations: Data Structures and Algorithms Specialization offered by University of Colorado Boulder is designed for students who have a general interest in developing applications that analyze huge volumes of data (no prior knowledge of data science is required) and are comfortable with the fundamentals of Python programming. Learners will learn about arrays, hash tables, heaps, trees, and graphs, as well as sorting, searching, traversal, and shortest path algorithms.
The courses in this specialization can be used toward CU Boulder's Master of Science in Data Science (MS-DS) degree, which is available on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from the Applied Mathematics, Computer Science, Information Science, and other departments at CU Boulder. The MS-DS is excellent for persons with a broad variety of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics, as it is based on performance rather than application.
This course offers:
- Flexible Schedule: Set and maintain flexible deadlines.
- Certificate : Earn a Certificate upon completion
- 100% online
- Advanced Level : Calculus: derivatives and integrals. Probability theory: distributions, expectations, and moments. Some programming experience with Python.
- Approx. months to complete: Suggested pace of hours/week
- Subtitles: English
Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/specializations/boulder-data-structures-algorithms
