100% Free Mastering Coding Interviews: Data Structures and Algorithms
With the ever-growing competition in the tech space, it requires a candidate to perform exceptionally well in coding interviews to get hired into those coveted software engineering roles at big tech giants like Google, Meta, Amazon, and Netflix. It is more or less a ticket to those coveted jobs and has become synonymous with the challenges of problem-solving, logical thinking, and technical knowledge. So, how should one prepare for such high-stakes interviews?
Welcome to the Coding Interview Bootcamp - your course to arm you fully with all the tools and techniques and confidence to go into coding interviews like pros. This course covers as much as possible on data structures and algorithms by getting as detailed as possible-from basic questions to real interview questions from industry giants. It's the ultimate resource to use when looking for proper, structured preparation whether one is a beginner or one just needs a sharpen-up session.
Why Enroll in This Course?
Preparation for interviews for aspiring software engineers is difficult since most of them don't know where to begin, how to structure learning, or how to remain motivated. Here's how this bootcamp addresses the issues listed above and why it is the best option to go for coding interview preparation.
Essential Data Structures Covered: This course includes the data structures that you should know for a coding interview, including arrays, hash tables, linked lists, binary trees, and graphs.
Real Interview Problems: You will learn problems that have been inspired from real interviews from top tech companies including Google, Meta, Amazon, Netflix, and Microsoft.
Step-by-Step Time and Space Complexity Breakdowns: Each problem includes step-by-step time and space complexity breakdown so that you can understand your efficiency of solutions.
Hands-on coding: The implementation in this article can be done in JavaScript, but its principles and approaches apply everywhere else, including Python. Implement all the codes as you practice coding solutions to consolidate what you learned.
What you will learn in the Coding Interview Bootcamp
Throughout the course, you'll build a strong foundation of essential data structures and algorithms. The course is set up with daily coding challenges, so there's a roadmap that keeps you motivated, with clear goals for every day. By the end of this boot camp, you will have solved thousands of problems, so you could well be ready to ace coding interviews with a solid foundation.
Here is a closer look at what the course structure is, and what each module contains:.
Course Structure
Days 1-2: Arrays
Actually, all the other data structures basically start from arrays. Introduction of day 1 and day 2 for Arrays can include a primer about the time complexity of such problem with Big O Notation and then eventually reaching up to problem-solving, that's in the way, similar to Sorted Squared Array or Monotonic Array by achieving an optimum solution along with analysis related to time complexity.
Day 3: Hash Tables
Knowledge on hash tables is a necessity to understand how data may be stored and retrieved very efficiently. After the crash course in hash tables, you shall solve two of the most popular problems, namely Two Sum and Isomorphic Strings. You will learn to use hash functions in both problems to come up with solutions that have a minimal level of complexity.
Days 4-5: Recursion
It will discuss recursion as a widely applied concept in many algorithmic solutions. From the Fibonacci sequence and Power Sum, you will learn recursive thinking and how to analyze different ways of solving a recursive problem, moving on to more advanced recursion topics like Permutations and Power Sets.
Days 6-7: Strings
Strings are fundamental in programming, and understanding how to efficiently manipulate them is crucial. You will work on popular string problems such as the First Non-Repeating Character, Longest Unique Character Substring, and Group Anagrams. These exercises develop your ability to solve string-related problems with minimal use of space and time.
Days 8-9: Searching Algorithms
This module covers Binary Search which is an efficient searching algorithm on sorted data and generalizes to more advanced topics including searching in a rotated sorted array and multi-dimensional matrices. Each algorithm is partitioned into iterative and recursive solutions with a heavy dose of Big O analysis.
Days 10-12: Sorting Algorithms
Sorting is one of the steps involved in data organization. It is usually the point of departure for solving many problems. You will learn fundamental sorting algorithms such as Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, and Quick Sort. Each algorithm is examined to determine its best usage scenario, strengths, and weaknesses.
Days 13-16: Linked Lists
After these comes the linked list in which you learn about what difference a singly linked list differs from a doubly linked one and then you learn what main operations would include removing of duplicates from a list and how to reverse a list and check whether a given list has any cycle present within it or not along with handling the nodes.
All of them are components used in most of the problems given during the interview sessions, thus, this module is critical in order to understand which property differs in what other.
Days 17-18: Stacks and Queues
- Storing and retrieving elements from these data structures can be best achieved by stacks and queues.
- Stack and queue design-Real-life application like Reverse Polish Notation
- Queue Operations using Stack
- Binary trees and binary search trees are covered on
Days 19-22.
Binary trees, which include BSTs, are common interview questions. First, you will implement a BST, followed by breadth-first search (BFS) and depth-first search (DFS) traversal, and finally problems like Level Order Traversal, Invert Binary Tree, and Diameter of Binary Tree. This will help you learn more about tree data structures and related algorithms.
Days 23-25: Heaps, Priority Queues, and Graphs
The last part of the course deals with more advanced data structures, such as heaps, priority queues, and graphs. You will find out about max heap construction, design of priority queues, and methods of graph traversal using BFS and DFS. This module concludes with advanced problems like finding the Number of Connected Components and implementing Topological Sort.
The Structure of Daily Coding Challenge
- Every day, you will be given a different coding challenge. Here is what each challenge involves:
- Logical Approach: Each problem begins with describing how to approach the problem logically, so you grasp the underlying method.
- Time & Space Complexity: Each solution has a detailed analysis of time and space complexity. This will help you analyze the efficiency of your solutions.
- Code Implementation: You will code along in JavaScript (or your preferred language) to solidify what you have learned and also practice translating logic into code.
- Solution Walkthrough Each code walkthrough ensures that you understand every part of the solution, providing insights into different approaches.
Resources to Keep You on Track
In order to make your preparation for the coding interview as seamless as possible, the course has downloadable resources, trackers, and cheat sheets that are designed to help keep you consistent, track your progress, and reinforce some key concepts.
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Unleash Your Potential Today
The Coding Interview Bootcamp offers a risk-free opportunity to begin mastering data structures, algorithms, and coding interview skills with a full money-back guarantee for the first 30 days. Join us on a journey of growth and unlock your full potential. Let's make your dream role a reality.
This can therefore be the very beginning of a lifetime-changing learning process that further readies you for a triumphant life at work. Thus, don't waste this great opportunity to learn and expand yourself as you surpass all those unavoidable dilemmas waiting to happen at your coding interview.
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