Master the Coding Interview in C#

Master the Coding Interview in C#, available at $54.99, has an average rating of 4.15, with 91 lectures, based on 16 reviews, and has 55 subscribers.

You will learn about Ace the Coding Interview given by some of the top tech companies Learn, implement, and use different Data Structures Get more interviews Become a better developer by mastering computer science fundamentals Become more confident and prepared for your next coding interview Learn, implement and use different Algorithms Learn the nuances of C# Data Structures and Algorithms This course is ideal for individuals who are Any engineer, developer, programmer, who wants to improve their interviewing skills or Anyone interested in improving their whiteboard coding skills or Anyone who wants to become a better developer or Any self taught programmer who missed out on a computer science degree or Anyone who wants a course centered around C# It is particularly useful for Any engineer, developer, programmer, who wants to improve their interviewing skills or Anyone interested in improving their whiteboard coding skills or Anyone who wants to become a better developer or Any self taught programmer who missed out on a computer science degree or Anyone who wants a course centered around C#.

Enroll now: Master the Coding Interview in C#

Summary

Title: Master the Coding Interview in C#

Price: $54.99

Average Rating: 4.15

Number of Lectures: 91

Number of Published Lectures: 91

Number of Curriculum Items: 91

Number of Published Curriculum Objects: 91

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Ace the Coding Interview given by some of the top tech companies

Learn, implement, and use different Data Structures

Get more interviews

Become a better developer by mastering computer science fundamentals

Become more confident and prepared for your next coding interview

Learn, implement and use different Algorithms

Learn the nuances of C# Data Structures and Algorithms

Who Should Attend

Any engineer, developer, programmer, who wants to improve their interviewing skills

Anyone interested in improving their whiteboard coding skills

Anyone who wants to become a better developer

Any self taught programmer who missed out on a computer science degree

Anyone who wants a course centered around C#

Target Audiences

Any engineer, developer, programmer, who wants to improve their interviewing skills

Anyone interested in improving their whiteboard coding skills

Anyone who wants to become a better developer

Any self taught programmer who missed out on a computer science degree

Anyone who wants a course centered around C#

If you’re a beginner in Software Development or even need a refresher on Data Structures and Algorithms for the upcoming Coding Interview then this is the course for you. Together, we will increase your confidence and understand what exactly the interviewer is looking for. If you’ve ever been stuck on a question or not know what questions you should be asking, this course is for you. I have heard several times that not all colleges will teach Data Structures and Algorithms which puts them behind other students who’s schools have taught them these subjects. But even beyond that, there are other nuances to interviews that are not taught in school and only learned through experience or by an instructor that have these experiences. My job is to help you not struggle nearly as much as I did and understand these nuances beyond just Data Structures and Algorithms as well.

In this course, we will cover subjects such as:

1. Big O Notation

2. Arrays/List

3. Hash Tables

4. Linked Lists

5. Stacks and Queues

6. Trees

7. Recursion

8. Sorting

9. Searching BFS + DFS

I am a Developer who has worked and managed small teams and worked on large teams as well. I have also been in dozens of interviews and through that experience I will help you get in the mindset that tech companies are looking for as well as teaching you the mistakes I made so you don’t repeat them. There will also be exercises and practice quizzes to help you understand the fundamentals and nuances of interviews.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: 2. Set Up Environment

Chapter 2: Big O

Lecture 1: 1. Overview

Lecture 2: 2. What is Good Code?

Lecture 3: 3. Big O and Scalability

Lecture 4: 4. Big O(n)

Lecture 5: 5. Big O(1)

Lecture 6: 6. Rules of Big O

Lecture 7: 7. Memory

Lecture 8: 8. Summary

Chapter 3: How to Solve Coding Problems

Lecture 1: 1. Overview

Lecture 2: 2. What are companies looking for

Lecture 3: 3. Data Structures and Algorithms you’ll Need to know

Lecture 4: 4. Google Videos

Chapter 4: Data Structures/ Introduction

Lecture 1: 1. Section Overview

Lecture 2: 2. What is a Data Structure

Chapter 5: Section 5 Data Structures/ Arrays/Lists

Lecture 1: 1. Arrays or List Introduction

Lecture 2: 2. Exercise – Reverse A String

Lecture 3: 3. Solution – Reverse A String

Lecture 4: 4. Exercise – Combine Arrays in Order

Lecture 5: 5. Solution – Combine Arrays in Order

Lecture 6: 6. Arrays Review

Chapter 6: Data Structures/ Hash Tables

Lecture 1: 1. Hashtables Introduction

Lecture 2: 2. Hash Function

Lecture 3: 3. Hash Collisions

Lecture 4: 4. Hash Exercise

Lecture 5: 5. Hash Tables Review

Chapter 7: Data Structures/Linked Lists

Lecture 1: 1. Introduction

Lecture 2: 2. What is a Linked List?

Lecture 3: 3. Implement Linked List

Lecture 4: 4. Doubly Linked Lists

Lecture 5: 5. Single vs Double Linked List

Lecture 6: 6. Reverse Linked List Exercise

Lecture 7: 7. Linked List Review

Chapter 8: Data Structures/ Stacks and Queues

Lecture 1: 1. Stacks and Queues Introduction

Lecture 2: 2. Stacks

Lecture 3: 3. Queues

Lecture 4: 4. Stacks Exercise

Lecture 5: 5. Queues Exercise

Lecture 6: 6. Extra Stack Exercise

Lecture 7: 7. Stacks and Queues Review

Chapter 9: Section 9 Data Structures Trees

Lecture 1: 1. Trees Introduction

Lecture 2: 2. Binary Trees

Lecture 3: 3. O(log(n))

Lecture 4: 4. Binary Search Tree

Lecture 5: 5. Blanced vs Unbalanced BST

Lecture 6: 6. BST Pros and Cons

Lecture 7: 7. Binary Search Tree Implementation Insert

Lecture 8: 8. Binary Search Tree Lookup

Lecture 9: 9. Binary Search Tree Remove

Lecture 10: 10. Red-Black Tree

Lecture 11: 11. Trees Review

Chapter 10: Algorithms/ Recursion

Lecture 1: 1. Intro to Algorithms

Lecture 2: 2. Recursion

Lecture 3: 3. Factorial

Lecture 4: 4. Fibonacci

Lecture 5: 5. Recursive vs Iterative

Lecture 6: 6. Recursion Review

Chapter 11: Algorithms Sorting

Lecture 1: 1. Sorting Introduction

Lecture 2: 2. Issues With Sorting

Lecture 3: 3. Sorting Algorithms

Lecture 4: 4. Bubble Sort

Lecture 5: 5. Bubble Sort Exercise

Lecture 6: 6. Selection Sort

Lecture 7: 7. Selection Sort Exercise

Lecture 8: 8. Insertion Sort

Lecture 9: 9. Insertion Sort Exercise

Lecture 10: 10. Merge Sort

Lecture 11: 11. Merge Sort Exercise

Lecture 12: 12. Stable vs Unstable Algorithms

Lecture 13: 13. Quick Sort

Lecture 14: 14. Radix and Counting Sort

Lecture 15: 15. Deciding of Sorts

Lecture 16: 16. Sorting Interview

Lecture 17: 17. Sorting Review

Chapter 12: Algorithms Searching BFS + DFS

Lecture 1: 1. Searching + Traversal Introduction

Lecture 2: 2. Linear Search

Lecture 3: 3. Binary Search

Lecture 4: 4. Graph and Tree Traversals

Lecture 5: 5. BFS Introduction

Lecture 6: 6. DFS Introduction

Lecture 7: 7. BFS vs DFS

Lecture 8: 8. BFS vs DFS Quiz

Lecture 9: 9. Bredth First Search

Lecture 10: 10. PreOrder, InOrder, PostOrder

Lecture 11: 11. Depth First Search

Lecture 12: 12. Graph Traversals

Lecture 13: 13. BFS in Graphs

Instructors

Eliseo Rocha
Software Developer

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 7 votes

5 stars: 7 votes

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