Data Structures? They're here. Algorithms? Covered. Lots of questions with well-explained solutions?

• Learn various Popular Data Structures and their Algorithms.

• Develop your Analytical skills on Data Structure and use them efficiently.

• Learn Recursive Algorithms on Data Structures.

• Implementation of Data Structures using C++

  
  

You may be new to Data Structure or you have already Studied and Implemented Data Structures but still, you feel you need to learn more about Data Structure in detail so that it helps you solve challenging problems and used Data Structure efficiently.

Want to land a job at a great tech company like Google, Microsoft, Facebook, Netflix, Amazon, or other companies but you are intimidated by the interview process and the coding questions? Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer. Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.

Many developers who are "self-taught", feel that one of the main disadvantages they face compared to college-educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures, and the notorious Big-O Notation. Get on the same level as someone with a computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. You will also get access to our private online chat community with thousands of developers online to help you get through the course.

I have spent many hours combing through interview questions asked at Google, Facebook, and Amazon to make sure you know how to answer questions asked by the most well-paying companies out there. No stone is left unturned, as we discuss everything from the simplest questions all the way to the most complex algorithm questions.

Course Contents

1. Recursion

2. Arrays Representation

3. Array ADT

4. Linked List

5. Stack

6. Queues

7. Trees

8. Binary Search Tree

9. Graphs

10. Interview Practice