Build better foundational skills as a developer by doing challenges and learning about data structures and algorithms

70+ JAVASCRIPT CHALLENGES: DATA STRUCTURES & ALGORITHMS
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BUILD BETTER FOUNDATIONAL SKILLS AS A DEVELOPER BY DOING CHALLENGES AND LEARNING ABOUT DATA STRUCTURES AND ALGORITHMS
WHAT YOU’LL LEARN
* Explore 70+ coding challenges from beginner, intermediate and advanced levels
* Ace coding interviews by learning how to solve problems with iteration, recursion, array methods & more
* Master data structures like stacks, queues, linked lists, trees, maps and hash maps
* Learn about sorting algorithms like bubble sort, insertion, merge and quick sort
* Full sandbox with explanations and Jest tests for every challenge
* You do NOT have to take on the challenges alone. Follow along and learn from the explanations
REQUIREMENTS
* You should know JavaScript & programming fundamentals
DESCRIPTION
Most of my students know me for my practical, project-based videos and tutorials. I wanted to create something to give you more fundamental skills for problem solving. That’s where the idea for this challenges video came from. I want to take my down-to-earth explanations to help you get a better understanding of the code that you write and help you write more efficient code.
This video is for all levels as long as you have a basic understanding of things like loops, functions, arrays, etc. We are writing JavaScript in this video, but about 95% of it can translate to any other language. So even if you are a Python, PHP or C# developer, you can still follow along.
Basic Challenges:
We start with a bunch of basic challenges that have to do with iteration and loops. Things like FizzBuzz and string reversals. These are very popular questions for entry-level interviews. We also move on to solving problems with high order array methods like filter and map.
Recursion:
Recursion is one of the toughest things to learn in programming. We have an entire section dedicated to it with challenges that we solve using recursion.
Time & Space Complexity:
We talk about how to measure an algorithm or function’s efficiency by using time and space complexity to see how the runtime and memory scale when inscreasing the input.
Data Structures: Stacks, Queues, Trees, Linked Lists, Graphs, HashMaps
We go over all of the common data structures and create our own implementation of them using JavaScript classes, but like I said, you could use any language. We also learn how to traverse them and complete challenges using them.
Sorting Algorithms:
We get into different sorting algorithms like bubble sort, insertion, selection, merge and quick sort. These are popular topics for interviews.
WHO THIS VIDEO IS FOR:
* Developers that want to build better foundational problem solving skills and pass job interviews