Datastructures and Algorithms MasterClass: Coding Interview

Datastructures and Algorithms MasterClass: Coding Interview

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 13 Hours | 6.26 GB

Ace your next Java coding interview by mastering in datastructures and algorithms. Deep dive using Java

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

Maybe you have taken other courses on this topic that focus more on teaching how to pass job interview tests (theory) instead of how to make good choices for the programs you develop (implementation).

Or maybe you are ready to move from a junior programming position to a more senior one and need to get skilled in advanced concepts like data structures, and how to apply them to your own projects.

Whatever the reason, if you are looking for a course that focus on the implementations to give you a complete understanding of how things work, then this is the course for you.

Complete source code is included and available for you to download.

This is a hands-on course! If you want to try understand things at a deep level, and work on implementations, rather than theory, then again, this is the course for you.

Topics covered:

  • Arrays
  • Linked
  • Lists
  • Trees
  • Hashtables
  • Stacks
  • Queues
  • Heaps
  • Sort algorithms
  • Search algorithms
  • Java Collection

Why learn about data structures and algorithms?

The reality is, the more you learn about data structures and algorithms, the better a programmer you become.

Why?

Because, data structures and algorithms are effectively patterns for solving problems. You want to add as many of them as you can to your skill-set. By doing so, you will find you solve more problems, and use the right tools for the job, in a more elegant way. And you will learn a heap of them in this course.

What you’ll learn

  • Code an implementation of each data structure, so you understand how they work under the covers.
  • Master commonly asked interview questions.
  • Tackle common data structures used in web development.
  • Understand what kind of questions are asked in Beginner Java Interviews
  • Understand Advanced Object Oriented Concepts
  • Answer questions on Collections, Generics and MultiThreading.
  • Understand basics of Functional Programming – Lambda Expressions and Streams.
Table of Contents

Set-up & Introduction
1 Introduction
2 SetUp Java on Mac Machine
3 Download & Install Eclipse on MAC
4 SetUp Java & Eclipse on Windows Machine

Java Collection Framework
5 What is Collection Framework
6 LinkedHashSet in Java
7 TreeSet in Java
8 Map in Java
9 HashMap in Java
10 LinkedHashMap in Java
11 GIT Code Location
12 Iterator in Collection – Enumeration
13 ListIterator in Collection
14 List Interface in Java
15 ArrayList in Collection
16 LinkedList in Collection
17 Set in Java
18 HashSet in Java

Java Collection Interview FAQs
19 Array to Array-list Conversion
20 Conversion ArrayList To Set

Arrays in Java
21 Single Dimensional Array in Java
22 Multi-Dimensional Array in Java
23 Compare Two Arrays in Java
24 Array Problem Segregate Even & Odd Values
25 Array Problem Find Kth SmallLargest Element

Interview Problems & Algos Arrays
26 Find Element in An Array
27 Search for Element in Sorted & Rotated Array
28 Find second largest number in an array
29 Find the number occurring odd number of times in an array
30 Find minimum number of platforms required for railway station

Basic of Algorithms
31 What is Algorithm
32 Asymptotic Analysis of Algorithm

Algo’s Time Complexity
33 Time Complexity Explanation

Sorting Algorithms IMPORTANT
34 Sorting Terminology
35 Selection Sort
36 Bubble Sort Algorithm
37 Insertion Sort
38 Merge Sorting
39 Quick Sorting

Searching Algorithms IMPORTANT
40 Linear Search Algorithm
41 Binary Search in Java
42 Find First Two Small Element in Array

Stack Data Structure
43 Stack Introduction
44 Stack Conversion in Java
45 Implement a Stack using Array
46 Implement a Stack using Linked List
47 Implement a Stack using Two Queues

Tree Data Structure
48 Tree Data Structure Introduction
49 Find Sum of Vertical Nodes in Tree
50 Find Level of Any Node in Tree
51 Pre Order Traversal
52 In-Order Traversal
53 Post-Order Traversal
54 Level Order Traversal
55 Traverse Leaf Node in Tree
56 Count Leaf Nodes of Tree
57 Find Max Element in Binary Tree
58 Find All Paths from Root to Leaf Nodes

Binary Search Tree
59 BST Introduction
60 Insert Node in BST
61 Search Node in BST
62 Delete Node in BST
63 Find Min & Max Node in BST
64 Array To Binary Search Tree Conversion

Additional Info
65 Bonus