Data Structures And Algorithms Training in Python (1)

Data Structures and Algorithms Training in Python


789 Learners Enrolled

Course details:
Class Duration: 60 ~ 65  Hrs

  • S : Oct 20th Onwards
Select Batch and time
Weekend - 29th August 2021, 9:15 AM - 11:30 AM IST
Weekend - 26th Sep 2021, 9:20 AM - 11:45 AM IST
Weekend - 24th April 2022, 9:15 AM - 11:45 AM IST

Course description

Learnbay Provides best Data structures And Algorithms training in Python .
Our Data Structures and Algorithms online/classroom training program using python provides you deep understanding of Data structures and algorithms concepts from ground up. We provide best Data Structure Algorithm training in Python with interview preparation for e-commerce companies and top product based MNC. So, If you are looking for data structures and Algorithms training 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 Python  Programming

Who Should Attend:
B.Tech/MCA Students looking 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.

Data Structure/Algorithms Course Duration: 55 ~ 60  Hrs
Course delivery:
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.
About Instructor:
Our Data Structures And Algorithms Trainers are Working in Top product based MNCs  like Google ,Amazon and premier institute like IIIT Hyderabad, IIT and NIT and expert in problem solving and competitive programming.

Course Content:

Note: Each Chapter has 6+ problems as class hands-on and 10+  Problems as assignment every Week  With medium And hard difficulty level from competitive programming portals like hackerrank, leetcode, SPOJ etc.

 PART  A- Basic And Advance Data Structures 

What is Data Structure?
Basic Concept in Data Structures.
1: Stack
Stack using Array
Stack using list
Stack using Queue
2: 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
5: Hash Table
Open Addressing – Basics
Open Addressing – Linear Probing
Open Addressing – Quadratic Probing
 6: Graphs
Graph and its representations
Adjacency Matrix
Adjacency List
Directed Graph
Undirected Graph

 PART  B .  –    Algorithms 

1: Searching and Sorting.
 Binary Search, Selection Sort, Bubble Sort
Insertion Sort, Merge Sort, Heap Sort
Quick Sort  ,Radix Sort
Complexity Theory
Complexity Theory
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 Algorithm3:  Dynamic Programming
Longest Increasing Subsequence
Longest Common Subsequence
Coin Change
Min Cost Path
Tiling Problem
Weighted Job Scheduling
4:  Backtracking Algorithms
The Eight Queens Problem
The Knights Tour
Rat in a Maze Recursion
Fibonacci Numbers
Tower Of Hanoi
Fixing Fibonacci
5:  Trees And Balanced Trees
Tree Terms
Binary Tree Properties
Traversals – Preorder
Traversals – Postorder
Traversals – Inorder Balanced Trees
What is Balanced Trees?
B-Trees – B-Tree Basics
B-Trees – Adding Items
B-Trees – Removing Items
8: Graphs
Network Algorithms
Network Terminology
Spanning Trees
Shortest Paths
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
Topological Sorting
Check whether a given graph is Bipartite or not
Snake and Ladder Problem
**** Interview Guidance/ Mock Interview Session ****
How To Crack Coding interview  –  Tier 1 Companies like Amazon
,Microsoft, Flipkart And Google – Session by Expert
from Top Companies

Mock Interviews (One on one ) With Expert
How to Approach System Design And Design
Pattern Questions

About Instructor

Our Data Structure And Algorithm 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.


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