Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

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 ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...

Here, the authors propose a quantum machine learning algorithm that provides an exponential speed up over known algorithms for topological data analysis.

Big-O, Big-Omega, Big-Theta notations, and their meanings. Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.