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.
Este curso forma parte de Programa especializado: Data Science Foundations: Data Structures and Algorithms
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Acerca de este Curso
Completion of the previous course. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
Qué aprenderás
Define basic tree data structures and identify algorithmic functions associated with them
Execute traversals and create graphs within a binary search tree structure
Describe strongly connected components in graphs
Habilidades que obtendrás
- Analysis of Algorithms
- Algorithm Design
- Python Programming
- Data Structure Design
- Graphs Algorithms
Completion of the previous course. Calculus, probability theory: distributions, expectations and moments. Some programming experience with Python.
Ofrecido por
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Programa - Qué aprenderás en este curso
Binary Search Trees and Algorithms on Trees
Basics of Graphs and Graphs Traversals
Union-Find Data Structures and Spanning Tree Algorithms
Shortest Path Algorithms
Reseñas
- 5 stars82,45 %
- 4 stars14,03 %
- 3 stars3,50 %
Principales reseñas sobre TREES AND GRAPHS: BASICS
This course is easy to understand and implement. It needs more programming exercises further!
Excellent explanation of complex topics. The coding exercise are also well thought out and the tips along the way help to reinforce key concepts.
very solid course - would love more programming assignments and tougher final
I have grade 100% My mail id- freespace644@gmail.com
Acerca de Programa especializado: Data Science Foundations: Data Structures and Algorithms

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