Easy to Advanced Data Structures - Simpliv

About this Course:

Data structures are amongst the most fundamental ingredients in the recipe for creating efficient algorithms and good software design. Knowledge of how to create and design good data structures is an essential skill required in becoming an exemplary programmer. This course will teach you how to master the fundamental ideas surrounding data structures.

Learn and master the most common data structures in this comprehensive course:

  • Static and dynamic arrays
  • Singly and doubly linked lists
  • Stacks
  • Queues
  • Heaps/Priority Queues
  • Binary Trees/Binary Search Trees
  • Union find/Disjoint Set
  • Hash tables
  • Fenwick trees
  • AVL trees

Course Contents:

This course provides you with high quality animated videos explaining a multitude of data structures and how they are represented visually. You will learn how to code various data structures together with simple to follow step-by-step instructions. Every data structure presented will be accompanied by some working source code (in Java) to solidify your understanding of that particular data structure. I will also be posting various coding exercises and multiple choice questions to ensure that you get some hands on experience.

Basic knowledge:

  • Basic computer science knowledge

What you will learn:

  • Mature understanding of data structures
  • Algorithms associated with data structures
  • Dynamic arrays
  • Singly and doubly linked list
  • Queues & Stacks
  • Binary Trees and Binary search trees
  • Heaps & Priority queues
  • Union find/Disjoint set
  • Hash table/Associative array
  • Fenwick tree/Binary indexed tree

About Author:

William Fiset, is a software engineer at Google stationed in Mountain View California. He finished his undergrad with a joint honors degree in mathematics and computer science at Mount Allison University in Canada.

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  • Level of Study

    Short Course

  • Department

    IT

  • Teaching Language

    English

  • Duration

    0 Years and 1 Months

  • Tuition Fee

    0 - US Dollar

  • Learning Mode

    Part-Time Learning

  • Discipline

  • Start Term

    Anytime

  • Country

    United States