Coding Interview Jumpstart: Algorithms and Problem Solving

🎓 Coding Interview Jumpstart: Algorithms and Problem Solving 🚀

What is this course about? 🤔

Dive into the fascinating world of algorithms, a foundational aspect of computer science that's crucial for interviews at top tech companies. This course is designed for everyone, whether you're new to algorithms or looking to sharpen your skills. I understand the challenges of starting out in this field—I've been there myself! That's why I've channeled my expertise and passion into crafting a course that demystifies algorithms and guides you towards your dream job in tech. 💻✨

How is this course structured? 📚

Section 1: Introduction 🤝

I'll kick things off by introducing the course material, setting the stage for your algorithmic journey. Here, you'll get a glimpse of what to expect and how we'll approach this topic together.

Section 2: Algorithm Analysis 🔍

• Understanding Importance: We'll start by delving into why algorithm analysis is pivotal in the realm of programming.
• Asymptotic Notation: Discover the language of algorithm analysis, which helps us understand the behavior of programs as data sets grow.
• Big-O Notation: Master Big-O notation to compare and contrast different algorithms' performances.
• Real-World Application: Put theory into practice by calculating time and space complexities of given algorithms.

Section 3: Sorting 📋

• Bubble Sort: Learn the basics with this simple yet often used sorting algorithm.
• Selection Sort: Understand a straightforward selection algorithm with linear time complexity for small datasets.
• Insertion Sort: Explore an algorithm that builds up a sorted array from a partially sorted one.
• Merge Sort: Dive into a divide and conquer approach that's particularly useful when dealing with large datasets.
• Quick Sort: Discover the efficiency of this divide and conquer algorithm in practice.
• Counting Sort: Learn about a linear time sort for items from a finite range of values.

For each, we'll analyze their trade-offs and determine which is best suited for different scenarios.

Section 4: Binary Search 🔎

• Basic Concepts: Get to grips with the core idea behind binary search and its implementation.
• Variations & Implementations: Explore different variations of binary search, including finding first/last occurrences and counting the number of occurrences in an array.

Section 5: BONUS: Interview Problems 🎫

This bonus section will feature detailed solutions to interview problems. I invite you to post interesting problems in the course discussions, and I'll regularly select new problems to tackle in videos here. Additionally, feel free to share any coding challenges or issues you encounter, and let's work together to find solutions. 🤝

Join me on this algorithmic adventure and transform your problem-solving skills for the next level of coding interviews! 🚀