Course | {{title}}

DSA

11 modules

Python

Lifetime access

<p>Master the art of efficient data manipulation and algorithm design</p>

Overview

Description:

Data Structures and Algorithms (DSA) is a comprehensive course that focuses on the fundamental concepts and techniques used in computer science to efficiently store and manipulate data. Students will learn various data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with their associated algorithms. The course also covers key algorithms for sorting, searching, and graph traversal. By the end of this course, students will have a solid foundation in DSA, enabling them to solve complex programming problems and design efficient algorithms.

Key Highlights:

  • Comprehensive coverage of data structures and algorithms
  • Hands-on exercises and coding challenges
  • Understand the efficiency and time complexity of algorithms
  • Apply DSA concepts to solve real-world programming problems

What you will learn:

  • Learning Outcome 1
    Understand the fundamental concepts of data structures such as arrays, linked lists, and stacks
  • Learning Outcome 2
    Learn different sorting and searching algorithms and their applications
  • Learning Outcome 3
    Explore advanced data structures like trees, graphs, and hash tables
  • Learning Outcome 4
    Develop problem-solving skills by solving coding challenges and exercises
  • Learning Outcome 5
    Analyze the time and space complexity of algorithms to optimize program performance

Modules

Introduction to DSA

4 attachments • 32 mins

Introduction to Data Structures & Algorithms

Importance of DSA

30 pages

Basic Data Structures

Coming Soon

Basic Algorithms

Coming Soon

Data Structures

Arrays and Strings

5 attachments

Introduction to Arrays

Coming Soon

Array Operations

Coming Soon

Introduction to Strings

Coming Soon

String Operations

Coming Soon

Array and String Problems

Coming Soon

Searching and Sorting

8 attachments

Linear Search

Coming Soon

Binary Search

Coming Soon

Bubble Sort

Coming Soon

Selection Sort

Coming Soon

Insertion Sort

Coming Soon

Merge Sort

Coming Soon

Quick Sort

Coming Soon

Search and Sort Problems

Coming Soon

Linked Lists

6 attachments

Introduction to Linked Lists

Coming Soon

Singly Linked Lists

Coming Soon

Doubly Linked Lists

Coming Soon

Circular Linked Lists

Coming Soon

Linked List Operations

Coming Soon

Linked List Problems

Coming Soon

Stacks and Queues

7 attachments

Introduction to Stacks

Coming Soon

Stack Operations

Coming Soon

Applications of Stacks

Coming Soon

Introduction to Queues

Coming Soon

Queue Operations

Coming Soon

Applications of Queues

Coming Soon

Stacks and Queues Problems

Coming Soon

Trees and Graphs

7 attachments

Introduction to Trees

Coming Soon

Binary Trees

Coming Soon

Binary Search Trees

Coming Soon

Tree Traversal Algorithms

Coming Soon

Introduction to Graphs

Coming Soon

Graph Traversal Algorithms

Coming Soon

Trees and Graphs Problems

Coming Soon

Hashing and Hash Tables

6 attachments

Introduction to Hashing

Coming Soon

Hash Functions

Coming Soon

Collision Resolution Techniques

Coming Soon

Hashing Applications

Coming Soon

Hash Tables Operations

Coming Soon

Hashing and Hash Tables Problems

Coming Soon

Dynamic Programming

5 attachments

Introduction to Dynamic Programming

Coming Soon

Basic Concepts of DP

Coming Soon

Top-Down and Bottom-Up Approaches

Coming Soon

Memoization and Tabulation

Coming Soon

Dynamic Programming Problems

Coming Soon

Greedy Algorithms

5 attachments

Introduction to Greedy Algorithms

Coming Soon

Greedy Algorithms Strategies

Coming Soon

Interval Scheduling Problems

Coming Soon

Huffman Coding

Coming Soon

Greedy Algorithms Problems

Coming Soon

Advanced Data Structures

7 attachments

Heaps and Priority Queues

Coming Soon

Disjoint Set Union (DSU)

Coming Soon

Segment Trees

Coming Soon

Tries

Coming Soon

Splay Trees

Coming Soon

Red-Black Trees

Coming Soon

Advanced Data Structures Problems

Coming Soon

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

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