
This course includes our updated coding exercises so you can practice your skills as you learn.
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Explore quadratic complexity, or O(n^2), where time grows with the square of input size, illustrated by nested loops that print each element, showing inefficiency for large inputs.
Remove elements from a linked list by handling four cases—beginning, end, middle, and only element—updating the head, tail, and pointers accordingly.
master the palindrome linked list challenge by using slow and fast pointers to find the middle, reverse the second half, and compare values for a linear time, constant space solution.
Explore how to implement a text editor cursor using a doubly linked list, enabling forward and backward cursor movement, insertion, deletion, and visualizing the cursor within the list.
Welcome to the Data Structures and Algorithms in Java Course!
Are you a Java programmer who wants to write efficient code and improve your programming and problem solving skills ?
Do you have an upcoming coding interview and you want to ace it with confidence ?
If the answer is yes, then this course is the right choice for you!
In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Java.
The concepts are explained with animations which makes it much more easier to understand and memorize.
You will also apply your knowledge throughout the course via coding exercises, real world use cases and Leetcode coding challenges with video solutions.
The course covers the following topics:
General
Why Should You Learn Data Structures and Algorithms ?
What are Data Structures ?
What are Algorithms ?
Big O Notation
Linear Complexity - O(n)
Constant Complexity - O(1)
Quadratic Complexity - O(n^2)
Logarithmic Complexity - O(logn)
Constants in Big O
Dominant and Non-Dominant Factors in Big O
Complexities Comparison
Data Structures
Linked Lists
Doubly Linked Lists
Stacks
Queues
Sets
Trees
Tries
Heaps
Hash Tables
Graphs
Algorithms
Linear Search
Binary Search
Bubble Sort
Insertion Sort
Selection Sort
Merge Sort
Recursion
Tree Traversal
Graph Traversal
I'm confident that you will enjoy this course, but if you for some reason are not happy with the course it's backed by Udemy's 30 day money back guarantee, so nothing to lose!
I'm excited to see you in the course, hit that enroll button and start your mastering Data Structures & Algorithms journey :)