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Trees and Graphs
Basics
Data Science Foundations: Data Structures and Algorithms,
Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data. Trees and Graphs: Basics can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | eight to fifteen hours a week for four weeks |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $99 |
| From | University of Colorado Boulder via Coursera |
| Instructor | Sriram Sankaranarayanan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Algorithms Software Development |
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| Rating | Not enough ratings |
|---|---|
| Length | 5 weeks |
| Effort | eight to fifteen hours a week for four weeks |
| Starts | Jun 26 (47 weeks ago) |
| Cost | $99 |
| From | University of Colorado Boulder via Coursera |
| Instructor | Sriram Sankaranarayanan |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming |
| Tags | Computer Science Algorithms Software Development |
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