Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Sorting algorithms allow programmers to either rearrange data structures, ordering them by value, or to copy the items in order, into a second data structure. Recursion Algorithms for managing ...

Once you’ve got these basics, you’ll be ready to learn about searching and sorting with one-dimensional arrays, in Part 2. ... When choosing a data structure or algorithm, ...

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 search ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

It’s a very common programming task to search a singly linked list for specific data items. While the Linear Search algorithm (introduced in Part 2) is most frequently used for this type of task ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

Mastering DSA is essential for improving coding efficiency and cracking technical interviews.The right DSA books provide ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...