Price
$99
Course Type
Online
Duration
9 hours
Date
Various dates throughout the year
Entry Requirements
All Levels

About this course

This course will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.

This course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.

Throughout the course, a step by step approach is followed to make you understand different Data Structures and Algorithms. Through this course you can build a strong foundation in Data Structures and Algorithms that can help you to crack coding interviews and work in the industry.

In this course, Java language is used for implementing various Data Structures and Algorithms, but you can easily implement them in any other language like C++, C#, or Python.

What are the requirements?

  • Basic knowledge of programming in any language

What am I going to get from this course?

  • Over 129 lectures and 8.5 hours of content!
  • Over 100 Quiz questions
  • Ability to analyse algorithms
  • Knowledge of basic Data Structures and various sorting algorithms
  • Ability to write and trace recursive algorithms
  • Ability to write programs for different Data Structures and Algorithms
  • Confidence to face programming interviews

What is the target audience?

  • Programmers looking for jobs
  • Programmers wanting to write efficient code
  • Computer Science students having Data Structures as part of their curriculum
  • Non Computer science students wanting to enter IT industry
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