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Data Structures and Algorithms Interview Questions

Instructor:

Mr. Bharani Akella
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Data Structures and Algorithms Interview Questions

4.5 Learning Hours . Beginner

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Skills you will learn

Data structures such as Stack
Queues and Linked List. Searching and Sorting Algorithms

About this course

In this course, we will be discussing Data Structures and Algorithms. We will begin our discussion with Linear and Binary Searching. Next we will discuss Sorting algorithms such as Quick sort, Merge sort, Insertion sort and many more. Such algorithms will help you solve many problems while working with Data Structures.

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Course Outline

Linked List

A linked list is a linear type of data structure that comes in handy while solving complex problems. This module gives a brief on the linked list along with discussing its advantages, disadvantages, and applications. You also have a demonstration on a linked list with the help of a code example.

Stack

Stack comes under a linear data structure and is known for its FILO/LIFO property. The module focuses on introducing you to stack and goes through its several advantages, disadvantages, and applications. You will also learn about its demonstration using an array with the help of a code example.

Queue

A queue is a linear form of data structure and follows the FIFO/LILO property. The module starts by giving you a brief on queue, its advantages, disadvantages, and applications. Lastly, you will have a demonstration of the queue using an array with the help of a code example.

Bubble Sort

Bubble sort is a simple sorting algorithm that repeatedly steps through the list to be sorted. This module explains bubble sort and its algorithm in detail.

Selection Sort
Insertion Sort

Insertion sort is a sorting algorithm in which each element is inserted into its correct position in a sorted array. This module explains insertion sort, time complexity, and algorithm with an example and demonstration.

Quick Sort

Quick sort is a sorting algorithm that uses a partitioning step to divide an array into subarrays, followed by a sorting step to sort the subarrays. This module explains the quick sort, time complexity, and algorithm with an example and demonstration.

Merge Sort

A merge sort is a sorting algorithm that sorts items by dividing them into two groups, sorting each group, and then merging the groups back together. This module explains the merge sort, time complexity, and algorithm with an example and demonstration.

Linear Searching
Binary Searching

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Data Structures and Algorithms Interview Questions

4.5 Learning Hours . Beginner

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Our course instructor

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Mr. Bharani Akella

Data Scientist

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4.7M+ Learners
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125 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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