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Interview Prep: DSA Ready with Mini Projects for Beginners
Rating: 4.0 out of 5(3 ratings)
716 students

Interview Prep: DSA Ready with Mini Projects for Beginners

Learn Data Structures and Algorithms with Practical Projects to Ace Your Tech Interviews
Created byLeena Francis Thorat
Last updated 3/2025
English

What you'll learn

  • Practice Troubleshooting and Debugging
  • Understand Fundamental Concepts
  • Use Essential Tools and Resources
  • Develop Basic Problem-Solving Skills

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

4 sections • 14 lectures • 1h 26m total length

  • What is Stack?5:54

    A stack is a data structure that follows the Last In, First Out (LIFO) principle. This means that the most recently added item is the first one to be removed. Think of a stack like a pile of plates: the last plate you put on the pile is the first one you'll take off.

    Key Operations:

    • Push: Add an item to the top of the stack.

    • Pop: Remove the item from the top of the stack.

    • Peek: View the item at the top without removing it.

    • isEmpty: Check if the stack is empty.

    Stacks are used in many areas of computer science, such as in function calls (the call stack), undo features in applications, and evaluating expressions in different notations. They are simple but powerful tools for managing data in a controlled, ordered way.

  • Stack push()6:43

    The push() operation adds an element to the top of the stack. It increases the size of the stack by one, and the new element becomes the first to be removed when a pop() operation is called. The operation is fast, with a time complexity of O(1), meaning it takes constant time regardless of the stack's size.

  • Stack pop()3:31

    Learn how the pop() operation works in a stack data structure! In this video, we’ll cover how pop() removes the top element of the stack, following the Last In, First Out (LIFO) principle. We’ll also explore its time complexity and see a practical code example in Python. Watch now to understand this key stack operation!

  • Stack display()4:29

    Learn how the display() operation works in a stack! In this video, we’ll show you how to display all the elements in a stack from bottom to top, without modifying it. Watch now to understand how to visualize your stack’s contents!

  • Problem Statement: Reverse a Stack
  • Stack Operations (Push & Pop)
  • Stack Implementation in C++
  • Interview Preparation -Stack

Requirements

  • No Prior Skills Needed to Join This Course – Perfect for Beginners!

Description

Are you a beginner looking to build a strong foundation in Data Structures and Algorithms (DSA)? This course is your ultimate guide to mastering DSA with a hands-on approach. With a focus on practical mini projects, you’ll not only understand core concepts but also gain the problem-solving skills necessary to excel in technical interviews.

In this course, you’ll learn:

  • Essential Data Structures: Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, and Heaps.

  • Key Algorithms: Sorting (Bubble Sort, Merge Sort, Quick Sort), Searching (Binary Search), Graph Algorithms (BFS, DFS), and Dynamic Programming.

  • Problem-Solving Techniques: Learn how to tackle complex coding challenges with ease.

  • Time and Space Complexity: Understand Big-O notation and how to optimize your code for efficiency.

Each module includes hands-on mini projects that allow you to apply what you’ve learned to real-world scenarios, reinforcing your knowledge and boosting your confidence. You'll gain interview-ready skills, focusing on practical coding problems and optimizing solutions for maximum efficiency.

By the end of this course, you’ll have a solid understanding of DSA, be fully prepared for coding interviews, and have the practical skills needed to succeed in your tech career. Whether you’re preparing for your first job or aiming for a top tech company, this course is the perfect starting point to boost your career and land your dream job!

Who this course is for:

  • Complete beginners
  • Students
  • Professionals
  • Anyone interested

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