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• Cracking The Code Interview Book Free Download
• Cracking The Code Interview Download Free Full

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Cracking Coding Interviews Udemy Free download. Problem Solving – Math, Data structures, Algorithms.

This course is written by Udemy’s very popular author Imtiaz Mohammad. It was last updated on August 17, 2019. The language of this course is English. This course is posted under the categories of IT & Software, Other and Problem Solving on Udemy.

There are more than 6819 people who has already enrolled in the Cracking Coding Interviews which makes it one of the very popular courses on Udemy. You can free download the course from the download links below. It has a rating of 4.7 given by 423 people thus also makes it one of the best rated course in Udemy.

The Udemy Cracking Coding Interviews free download also includes 7 hours on-demand video, 7 articles, 16 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more.

What am I going to learn?

If you are wondering what you are going to learn or what are the things this course will teach you before free downloading Cracking Coding Interviews, then here are some of things:

• Problem solving skills using Math, Data structures and Algorithms to crack coding interviews of top product based companies like Google, Microsoft, Apple, Facebook, etc.

What do I need?

These are the very few things you need first before you can free download Cracking Coding Interviews:

• Basic understanding of data structures (Array, Linked list, Stack, Queue, etc) and algorithms (Linear search, Binary search, Bubble sort, etc) is required.

Is this course right for me?

If you are still confused whether you should free download Cracking Coding Interviews or is it the course you are actually looking for, then you should know that this course is best for:

• Engineering graduates (Computer Science and non Computer Science) and employees of the software industry looking to land high paying software development or automation jobs in top product based companies.

Course Description

Coding interviews are stressful. The amount of preparation required to succeed is increasingly overwhelming. It is extremely hard to find long stretches of time to sift through the unlimited books and resources available on the Internet to prepare for interviews.

This course is designed to eliminate what is not absolutely required in the context of coding interviews and focus on what is absolutely required to save time and energy of millions of aspirants. It is designed to benefit anyone with as little as 0 to as much as 20 years of experience. Some parts of the sessions are conducted in “mock interview” mode to help viewers understand how the actual interviews progress and get comfortable with the environment upfront.

In this course, you will learn how to crack coding interviews methodically. You will gain solid foundation required in Math, Data structures & Algorithms and the confidence to solve problems and implement solutions within stipulated time.

This course helps pursue development or automation opportunities in product based companies anywhere in the world. You can also apply the learning while working as a freelancer or launching your own startup.

Cracking The Code Interview Book Free Download

Data structures & Algorithms are the foundation of computer science regardless of which language you code them in and where you go. The code samples in this course are in C, C++ and Java.Course Contents

Cracking The Code Interview Download Free Full

1. Math:

   1. Logarithms

   2. Exponentiation

   3. Permutations

   4. Combinations

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   5. Geometric progression

   6. Arithmetic progression

   7. Median

   8. Modulus

   9. Fibonacci

   10. Number systems

   11. (anything required in the context of coding interviews)

2. Data structures:

   1. Array

   2. Linked List (Singly/Doubly)

   3. Stack

   4. Queue

   5. Struct/Class

   6. Hash Table

   7. Balanced BST

   8. B Tree/B+Tree

   9. Map (Hash Table vs BST)

   10. Set (Hash Table vs BST)

   11. Heap (Min Heap/Max Heap/Priority Queue)

   12. Trie (Prefix/Radix/Suffix)

   13. Applications, Complexities, Pros & Cons, Container classes of all above

3. Algorithms:

   1. Asymptotic Notations (Big Oh, Omega, Theta)

   2. Time & Space Complexities: Constant/Logarithmic/Linear/Polynomial/Exponential/Factorial

   3. Sorting

   4. Comparator

   5. Searching

   6. Traversals (Depth First/Breadth First)

   7. Recursion (Top Down/Bottom Up)

   8. Divide & Conquer

   9. Dynamic Programming

   10. Bit Manipulations

   11. Greedy Approach

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