The Swift Arcade Data Structures and Algorithms Bootcamp
What you’ll learn
How to pass technical interviews at large tech companies
Knowledge and mastery of data structures and algorithms
How to answer the most commonly asked interview questions
How to interview confidently and well
Land your dream job
Basic knowledge of Swift programming language
This course is about getting you up-to-speed quickly on the fundamental computer science concepts you are going to be expected to know if you want interview at any large Silicon Valley tech company (Google, Apple, Facebook, Amazon, or Spotify).Topics includeArraysLinked ListsBig O notationStacks & QueuesHash TablesBinary TreesDynamic Programming & MemoizationBubble Sort / Merge Sort / Quick SortGraphsBreadth First SearchDepth First SearchMore…What you getWith this course you getOver 115 beautifully hand crafted HD videos walking you through every aspect of how all these data structures and algorithms workPractices questions and personal walkthroughs of the most commonly asked interview questionsMy personal notes on interviews I have personally had with Spotify, Facebook, Amazon, and othersA section called The Classics where we walk through classic interview questions no interviewee should be with outInterview tips on soft skills big tech companies look for when hiring and techniques on how to answerWhat you saveBy investing in yourself with this course you are saving yourself the most precious thing you’ve got – time. I have spent a year scouring the web looking for the best examples, the simplest explanations, the best visualizations on how to explain how this stuff works, and assembled it all into one, quick, easy to digest place.Let’s do this togetherLearning data structures and algorithms doesn’t have to be a chore. It can be fun. And I want you to know I am here for you every step of the way. Ask me any question. I usually get back to my students with 24 hrs. And together, we will get you the understanding behind how these things work. I also don’t have a formal computer science backgroundLook. I know what it’s like not to know how this stuff works. And, like you, I have had to learn this stuff from scratch.But I am here to tell you it can be done. I have no formal computer science background. I am not classically trained as a computer scientist. But by learning this material, I landed my dream job as an engineer at Spotify in San Francisco. And so can you.So what are you waiting for? Sign up and get started on your journey today.TestimonialsThis is the best course I ever had, very organized, clear explaining and easy to understand topics. The important thing, I was able to pass and solve, the coding interview as iOS developer, after taking this course. Many thanks Jonathan.Thank you for this amazing course. I have been developing iOS for almost 7 years now. honestly I didn’t know about 90% of the topics that you are covering in this course. Thank You!The instructor is valid, truly humble and fun. It’s been a pleasure to follow this course.I am leaving a 5 star here because not only does this course expose you to Algorithms and DataStructures, it builds your confidence for any interview and you learn that we are all human and can’t always be perfect with our approach. Had two Algorithms & DataStructure interview with two big techs and solved passed the Stage.By the time I had taken this course I had already built my first app “janet.” and had it launched on the App Store. After the launch I started looking for an iOS developer position at a tech company. Come to find out that although I had cloned dozens of different kinds of popular apps and successfully launching my own, I didn’t know the things I needed in order to get a job as a developer. After getting a few books, taking a few courses on swift data structures and getting through to the last round of the Facebook interviews, I found this course. After completing this course over a weekend, I started crushing coding challenges and really understood the code that I was writing. Not even a month later I landed my first iOS Engineering position! Jonathan has been the best instructor I have found for iOS on Udemy. I just purchased his new course Professional iOS Development and I can’t wait to go through it! Thanks for everything so far, Jonathan!This course has been fantastic for filling in the gaps in my programming knowledge! I am feeling much more confident about answering questions in a tech interview now!Amazing course, worth taking even if you are intermediate/advanced and want to refresh concepts. The instructor is phenomenal!! Thank you so much for making this course!!
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Setup and source code
Lecture 3 Resources & materials
Lecture 4 Tips for taking this course
Section 2: Big O Notation
Lecture 5 What is Big O Notation and how does it work?
Section 3: Arrays
Lecture 6 What’s so special about arrays?
Lecture 7 What happens when you insert an element into an array?
Lecture 8 How does delete work?
Lecture 9 What happens when an array gets too big?
Lecture 10 What’s different about arrays in Swift?
Lecture 11 What you need to know for the interview
Lecture 12 Tips before you enter the arcade
Lecture 13 Super common interview question #1
Lecture 14 Super common interview question #2
Lecture 15 Super common interview question #3
Section 4: Linked Lists
Lecture 16 What is a linked list?
Lecture 17 Add front
Lecture 18 Add back
Lecture 19 Insert
Lecture 20 Delete
Lecture 21 Linked lists in the real world
Lecture 22 How do linked lists differ from arrays?
Lecture 23 What you need to know for the interview
Lecture 24 Super common linked list interview question #1
Lecture 25 Super common linked list interview question #2a
Lecture 26 Super common linked list interview question #2b
Lecture 27 Super common linked list interview question #2c
Lecture 28 Super common linked list interview question #3
Section 5: Big O Reduced
Lecture 29 Introduction
Lecture 30 Rules of reduction
Lecture 31 Big O rules in the Arcade
Lecture 32 Big O rules in the Arcade II
Lecture 33 What you need to know for the interview
Section 6: Stacks & Queues
Lecture 34 Stacks explained
Lecture 35 Queues explained
Lecture 36 What’s so special about Stacks and Queues?
Lecture 37 How to build a stack and a queue from scratch
Lecture 38 Super common stack interview question #1
Lecture 39 Super common stack interview question #2
Lecture 40 Super common stack interview question #3
Lecture 41 What you need to know for the interview
Section 7: Hash Tables
Lecture 42 What’s so special about hash tables?
Lecture 43 How do hashing functions work?
Lecture 44 How to convert a hash into an index
Lecture 45 Handling collisions
Lecture 46 Runtime characteristics of the hash table
Lecture 47 Building a hash table from scratch
Lecture 48 Advanced: How does Swift deal with dynamic hashValues?
Lecture 49 What you need to know for the interview
Section 8: Binary Search Trees
Lecture 50 What is a binary search tree?
Lecture 51 How do they work?
Lecture 52 Finding elements
Lecture 53 Inserting into
Lecture 54 Finding the minimum
Lecture 55 Handling deletes
Lecture 56 Binary tree traversal
Lecture 57 Runtime characteristics
Lecture 58 What you need to know for the interview
Lecture 59 Binary trees in the wild
Lecture 60 Super common binary search tree interview question #1
Lecture 61 Super common binary search tree interview question #2
Lecture 62 Super common binary search tree interview question #3
Section 9: Dynamic programming and memoization
Lecture 63 Houston we have a problem
Lecture 64 What is the Fibonacci series?
Lecture 65 What is memoization and how can it help?
Lecture 66 Memoization in action
Lecture 67 What you need to know for the interview
Section 10: Sorting algorithms
Lecture 68 Bubble sort
Lecture 69 Bubble sort in action
Lecture 70 Bubble sort runtime
Lecture 71 Merge sort
Lecture 72 Merge sort runtime
Lecture 73 Quick sort
Lecture 74 Quick sort runtime
Lecture 75 What you need to know for the interview
Section 11: Graphs
Lecture 76 What are graphs?
Lecture 77 How do they work?
Lecture 78 Breadth first search
Lecture 79 Breadth first search in action
Lecture 80 Depth first search
Lecture 81 Depth first search in action
Lecture 82 What you need to know for the interview
Lecture 83 Super common graph question
Section 12: The Classics
Lecture 84 Introduction
Lecture 85 Unique characters
Lecture 86 Permutations
Lecture 87 URLify
Lecture 88 One away
Lecture 89 Compressor
Lecture 90 Duplicates
Lecture 91 Subtrees
Lecture 92 Min stacks
Section 13: Greatest hits
Lecture 93 Fizz Buzz
Lecture 94 Palindromes
Lecture 95 The Ransom Note
Lecture 96 Caesar Cipher
Lecture 97 String reversal
Lecture 98 Integer reversal
Lecture 99 Anagrams
Section 14: The Google Interview
Lecture 100 Introduction
Lecture 101 Common Google interview question
Lecture 102 How to interview at Google well
Section 15: The Facebook Interview
Lecture 103 Introduction
Lecture 104 Facebook question #1
Lecture 105 Facebook question #2
Lecture 106 Facebook question #3
Lecture 107 Facebook question #4
Section 16: The Amazon Interview
Lecture 108 Introduction
Lecture 109 Setting the stage
Lecture 110 The Amazon culture question
Lecture 111 The Amazon technical question
Lecture 112 How to best answer the culture question
Lecture 113 Amazon technical question answer
Section 17: The Spotify Interview
Lecture 114 The culture interview
Lecture 115 The systems interview
Lecture 116 The programming interview
Lecture 117 Final tips for interviewing well
Section 18: Next Steps
Lecture 118 Where to go from here
Lecture 119 Final Words
Lecture 120 Course notes
Anyone applying for jobs at large tech companies like Google, Apple, Amazon, or Spotify,Anyone who wants to quickly learn the fundamentals of computer science,Anyone looking to become a better programming and engineer
Udemy | English | 7h 13m | 3.05 GB
Created by: Jonathan Rasmusson