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Python Data Structures Online Training and Certification Course

Level up with Python Data Structures Training Certification Course from Multisoft Virtual Academy. Get trained from Multisoft’s global subject matter experts and avail one-on-one and corporate training sessions; lifetime e-learning access and a globally recognized training certificate.

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15 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
22 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
29 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
06 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun

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Instructor-led Training Live Online Classes

15 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
22 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
29 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
06 Jul 2024 24 06:00 PM - 09:00 PM Sat, Sun

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$ 500

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime e-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Python Data Structures Training Course Syllabus

Curriculum Designed by Experts

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Python Data Structures Training Certification Course offered by Multisoft Virtual Academy has been designed for computer science graduates and programmers, who wish to learn data structure and algorithms in Python and how to use them to perform data analysis. In this program, participants will learn how to create data structures and algorithms and control their functionalities.

Python Data Structures Training Certification Course offered by Multisoft Virtual Academy has been designed for computer science graduates and programmers, who wish to learn data structure and algorithms in Python and how to use them to perform data analysis. In this program, participants will learn how to create data structures and algorithms and control their functionalities.

Participants will be introduced to some of the prominent data structures, such as Linked List, Tree, Stack and Queue. This course also comes with perks like one-on-one and corporate sessions; lifetime e-learning access, recorded training session videos; after-training support and a globally recognized training certificate.

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This course by Multisoft Virtual Academy provides an introduction to Python data structures. Participants will learn about lists, tuples, dictionaries, sets, and arrays, as well as how to manipulate and analyze data using these structures. The course also covers algorithms and data analysis techniques.

  • Curriculum Walkthrough
  • What are Data Structures?
  • What is an algorithm?
  • Why are Data Structures and Algorithms important?
  • Types of Data Structures
  • Types of Algorithms
  • Python Programming For Everyone
  • Python Programming
  • Introduction to DS and Algorithms
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  • What is Recursion
  • Why do we need recursion?
  • How Recursion works?
  • Recursive vs. Iterative Solutions
  • When to use/avoid Recursion?
  • How to write Recursion in 3 steps?
  • How to find Fibonacci numbers using Recursion?
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  • Important Note!
  • Power
  • Factorial
  • Product of Array
  • Recursive Range
  • fib
  • SOLUTIONS PART 1
  • Reverse
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  • Analogy and Time Complexity
  • Big O, Big Theta and Big Omega
  • Time complexity examples
  • Space Complexity
  • Drop the Constants and the non-dominant terms
  • Add vs. Multiply
  • How to measure the codes using Big O?
  • How to find time complexity for Recursive calls?
  • How to measure Recursive Algorithms that make multiple calls?
  • Time Complexities
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  • What is an Array
  • Types of Array
  • Arrays in Memory
  • Create an Array
  • Insertion Operation
  • Traversal Operation
  • Accessing an element of Array
  • Searching for an element in Array
  • Deleting an element from Array
  • Time and Space complexity of One Dimensional Array
  • One Dimensional Array Practice
  • Create Two Dimensional Array
  • Insertion - Two Dimensional Array
  • Accessing an element of Two Dimensional Array
  • Traversal - Two Dimensional Array
  • Searching for an element in Two Dimensional Array
  • Deletion - Two Dimensional Array
  • Time and Space complexity of Two Dimensional Array
  • When to use/avoid array
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  • What is list? How to create it?
  • Accessing/Traversing a list
  • Update/Insert a List
  • Slice/Delete from a List
  • Searching for an element in a List
  • List Operations/Functions
  • Lists and strings
  • Common List pitfalls and ways to avoid them
  • Lists vs. Arrays
  • Time and Space Complexity of List
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  • Middle Function
  • Solution to Middle Function
  • 2D Lists
  • Solution to 2D Lists
  • Best Score
  • Solution to Best Score
  • Missing Number
  • Solution to Missing Number
  • Duplicate Number
  • Solution to Duplicate Number
  • Pairs
  • Solution to Pairs
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  • What is a Tuple? How to create it?
  • Tuples in Memory / Accessing an element of Tuple
  • Traversing a Tuple
  • Search for an element in Tuple
  • Tuple Operations/Functions
  • Tuple vs. List
  • Time and Space complexity of Tuples
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  • What is a Linked List?
  • Linked List vs. Arrays
  • Types of Linked List
  • Linked List in the Memory
  • Creation of Singly Linked List
  • Insertion in Singly Linked List in Memory
  • Insertion in Singly Linked List Algorithm
  • Insertion Method in Singly Linked List
  • Traversal of Singly Linked List
  • Search for a value in Single Linked List
  • Deletion of node from Singly Linked List
  • Deletion Method in Singly Linked List
  • Deletion of entire Singly Linked List
  • Time and Space Complexity of Singly Linked List
  • Time Complexity of Linked List vs. Arrays
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  • Creation of Circular Singly Linked List
  • Creation of Circular Singly Linked List
  • Insertion Algorithm in Circular Singly Linked List
  • Insertion method in Circular Singly Linked List
  • Traversal of Circular Singly Linked List
  • Searching a node in Circular Singly Linked List
  • Deletion of a node from Circular Singly Linked List
  • Deletion Algorithm in Circular Singly Linked List
  • Delete Method in Circular Singlu Linked List
  • Deletion of entire Circular Singly Linked List
  • Time and Space Complexity of Circular Singly Linked List
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  • What is a Stack?
  • Stack Operations
  • Create Stack using List without size limit
  • Operations on Stack using List (push, pop, peek, isEmpty, Delete)
  • Create Stack with limit (pop, push, peek, isFull, isEmpty, delete)
  • Create Stack using Linked List
  • Operation on Stack using Linked List (pop, push, peek, isEmpty, delete)
  • Time and Space Complexity of Stack using Linked List
  • When to use/avoid Stack
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  • What is Queue?
  • Queue using Python List - no size limit
  • Queue using Python List - no size limit , operations (enqueue, dequeue, peek)
  • Circular Queue - Python List
  • Circular Queue - Python List, Operations (enqueue, dequeue, peek, delete)
  • Queue - Linked List
  • Queue - Linked List, Operations (Create, Enqueue)
  • Queue - Linked List, Operations (Dequeue(), isEmpty, Peek)
  • Time and Space complexity of Queue using Linked List
  • List vs. Linked List Implementation
  • Collections Module
  • Queue Module
  • Multiprocessing module
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  • What is a Tree?
  • Why tree?
  • Tree Terminology
  • How to create basic tree in Python?
  • Binary Tree
  • Types of Binary Tree
  • Binary Tree Representation
  • Create Binary Tree (Linked List)
  • PreOrder Traversal Binary Tree (Linked List)
  • InOrder Traversal Binary Tree (Linked List)
  • PostOrder Traversal Binary Tree (Linked List)
  • LevelOrder Traversal Binary Tree (Linked List)
  • Searching for a node in Binary Tree (Linked List)
  • Inserting a node in Binary Tree (Linked List)
  • Delete a node from Binary Tree (Linked List)
  • Delete entire Binary Tree (Linked List)
  • Create Binary Tree (Python List)
  • Insert a value Binary Tree (Python List)
  • Search for a node in Binary Tree (Python List)
  • PreOrder Traversal Binary Tree (Python List)
  • InOrder Traversal Binary Tree (Python List)
  • PostOrder Traversal Binary Tree (Python List)
  • Level Order Traversal Binary Tree (Python List)
  • Delete a node from Binary Tree (Python List)
  • Delete Entire Binary Tree (Python List)
  • Linked List vs. Python List Binary Tree
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  • What is Binary Search Tree? Why do we need it?
  • Create a Binary Search Tree
  • Insert a node to BST
  • Traverse BST
  • Search in BST
  • Delete a node from BST
  • Delete entire BST
  • Time and Space complexity of BST
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  • What is an AVL tree?
  • Why AVL Tree?
  • Common Operations on AVL Trees
  • Insert a node in AVL (Left Left Condition)
  • Insert a node in AVL (Left Right Condition)
  • Insert a node in AVL (Right Right Condition)
  • Insert a node in AVL (Right Left Condition)
  • Insert a node in AVL (all together)
  • Insert a node in AVL (method)
  • Delete a node from AVL (LL, LR, RR, RL)
  • Delete a node from AVL (all together)
  • Delete a node from AVL (method)
  • Delete entire AVL
  • Time and Space complexity of AVL Tree
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  • What is Binary Heap? Why do we need it?
  • Common operations (Creation, Peek, sizeofheap) on Binary Heap
  • Insert a node in Binary Heap
  • Extract a node from Binary Heap
  • Delete entire Binary Heap
  • Time and space complexity of Binary Heap
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  • What is Trie? Why do we need it?
  • Common Operations on Trie (Creation)
  • Insert a string in Trie
  • Search for a string in Trie
  • Delete a string from Trie
  • Practical use of Trie
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  • What is Hashing? Why we need it?
  • Hashing Terminology
  • Hash Functions
  • Types of Collision Resolution Techniques
  • Hash Table is Full
  • Pros and Cons of Resolution Techniques
  • Practical Use of Hashing
  • Hashing vs. Other DS
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  • What is sorting
  • Types of Sorting
  • Sorting Terminologies
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Bucket Sort
  • Merge Sort
  • QuickSort Overview
  • Pivot Function Overview
  • Pivot Function Implementation
  • QuickSort Algorithm Implementation
  • Heap Sort
  • Comparison of Sorting Algorithms
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  • Introduction to Searching Algorithms
  • Linear Search
  • Linear Search in Python
  • Binary Search
  • Binary Search in Python0
  • Time Complexity of Binary Search
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  • What is Graph? Why Graph
  • Graph Terminology
  • Types of Graph
  • Graph Representation
  • Create a graph using Python
  • Create Graph using Python - Add Vertex
  • Add Edge
  • Remove Edge
  • Remove Vertex
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  • Graph traversal - BFS
  • BFS Traversal in Python
  • Graph Traversal - DFS
  • DFS Traversal in Python
  • BFS Traversal vs. DFS Traversal
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  • Topological Sort
  • Topological Sort Algorithm
  • Topological Sort in Python
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  • Single Source Shortest Path Problem (SSSPP)
  • BFS for SSSPP
  • BFS for SSSPP in Python
  • Why does BFS not work with weighted Graph?
  • Why does DFS not work for SSSP?
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  • Dijkstra's Algorithm for SSSP
  • Dijkstra's Algorithm Visualization
  • Dijkstra Implementation Part 1
  • Dijkstra Implementation Part 2
  • Dijkstra Algorithm Testing
  • Dijkstra Algorithm with negative cycle
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  • Bellman Ford Algorithm
  • Bellman Ford Algorithm with negative cycle
  • Why Bellman Ford runs V-1 times?
  • Bellman Ford in Python
  • BFS vs. Dijkstra vs. Bellman Ford
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Python Data Structures Training Description

  • How to implement, and use various Data Structures?
  • How to implement and use various Algorithms?
  • Space and Time Complexity of Algorithms and Data Structures
  • Big O
  • Recursion

  • Computer science graduates
  • Self-taught programmers, who want to learn Data Structures and Algorithms
  • Python programmers, who want to learn data analysis with Python

  • Candidates should have basic knowledge of Python

Python Data Structures Training Certification

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Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Python Data Structures Training FAQ's

Recursion is a process, where a function works directly or indirectly to solve a problem; the function performing recursion process is known as a recursive function. Recursive algorithm helps solve problems with ease.

Big O Notation helps in describing algorithm’s time complexity. The tool analyses the time taken for an algorithm to run with growing input; in simple words the tool calculates the algorithm’s worst-case time complexity.

It is a built-in data structure in Python training, which is an arranged collection of objects. When compared to lists, tuples features limited functionality. The key difference between tuples and lists is that tuples are immutable, while Lists are mutable.

A self-balancing binary search tree is called AVL tree. In AVL tree each node consists of extra information known as balance factor.

Hashing is a technique used to map a large amount of data into smaller tables with the help of hashing function, also called message digest function. In this technique, the tool identifies a specific element from a group of similar elements.

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