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.
Prerequisites:
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 Tries |
| 5: Hash Table Chaining 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 Selections Permutations | 5: Trees And Balanced Trees Tree Terms Binary Tree Properties Traversals – Preorder Traversals – Postorder Traversals – InorderBalanced 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 likeAmazon ,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? |
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