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.Read more.
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The techniques and tools covered in Trees and Graphs: Basics are most similar to the requirements found in Data Scientist job advertisements.
Trees and Graphs: Basics is a part of one structured learning path.
3 Courses
3 Months
Data Science Foundations: Data Structures and Algorithms
