Learnbay Provides best Data structures And Algorithms training in Bangalore.
Our Data Structures and Algorithms training program provides you deep understanding of Data structures and algorithms concepts from ground up.We provide best Data Structure Algorithm training in Bangalore with interview preparation for e-commerce companies and top product based MNC.So,If you are looking for best data structures and Algorithms training in Bangalore with interview preparation for e-commerce companies and top product based MNC like Amazon,Cisco,Microsoft,Nvidia,Netapp etc,this course is suitable for you.
Our course content is designed by experts to match with the real world requirements for both beginner and advance level.100+ problems are implemented and discussed in the class with tons of assignments for practice.
Should have basic knowledge of C/C++ or Java Programming.
Who Should Attend:
B.Tech/MCA Students loking for data structures coaching
Job seekers who are preparing for interview in Product MNC/ecommerce companies
Anyone who has deep desire to learn Data Structures And Algorithms.
Online and Classroom session with 30% theory and 70% hands on,Practice ,Assignment.
We provide classroom and instructor led live online data structures and algorithms training.
What will you Learn:
This course will benefit you to perform your programming jobs better and also help you to get to better positions, with confidence, in case you are looking out for jobs.This course will help you to to handle Algorithm based interview with more confidence.
Our Data Structures And Algorithms Trainers are Working in Top product based MNCs and premier institute like IIIT hyderabad,IIT and NIT and expert in problem solving and competitive programming.
Data Structures Course:
What is Data Structure?
Basic Concept in Data Structures.
Stack using Array
Stack using list
Stack using Queue
Queue using Array
Queue using Stacks
Queue using list
3: Linked list
Linked list using singly
Linked list using doubly
Linked list using Circular
4: Trees (BST, AVL, 2-4 , Red Black)
Trees – BST
Trees – AVL
Trees – 2-4
Trees – Red Black
6: Hash Table
Open Addressing – Basics
Open Addressing – Linear Probing
Open Addressing – Quadratic Probing
Graph and its representations
Algorithms Course :
1: Searching and Sorting.
Binary Search,Selection Sort,Bubble Sort
Insertion Sort,Merge Sort,Heap Sort
Quick Sort ,Radix Sort
Big O Notation
Typical Runtime Functions
Comparing Run time Functions
Divide and Conquer:
Median of two sorted arrays
Closest Pair of Points
2: Greedy Algorithms:
Greedy Algorithm to find Minimum number of Coins
K Centers Problem
Dijkstra’s Shortest Path Algorithm
3: Dynamic Programming
Longest Increasing Subsequence
Longest Common Subsequence
Min Cost Path
Weighted Job Scheduling
4: Backtracking Algorithms
The Eight Queens Problem
The Knights Tour
Rat in a Maze
Binary Tree Properties
Traversals – Preorder
Traversals – Postorder
Traversals – Inorder
6: Balanced Trees
What is Balanced Trees?
B-Trees – B-Tree Basics
B-Trees – Adding Items
B-Trees – Removing Items
Tower Of Hanoi
Breadth First Traversal for a Graph
Depth First Traversal for a Graph
Application of Depth First Search
Application of Breadth First Traversal
Detect Cycle in a Directed Graph
Detect Cycle in a an Undirected Graph
Detect cycle in an undirected graph
Longest Path in a Directed Acyclic Graph
Check whether a given graph is Bipartite or not
Snake and Ladder Problem