Crack Coding Interviews-Data Structures + Algorithms-Python

Crack Coding Interviews:Data Structures + Algorithms-Python, available at $19.99, with 156 lectures, 11 quizzes, and has 2 subscribers.

You will learn about Ace coding interviews given by some of the top tech companies Become more confident and prepared for your next coding interview Cracking the Coding Interview questions with explanations Become a better developer by mastering computer science fundamentals Learn, implement, and use different Data Structures Learn, implement and use different Algorithms Learn everything you need to ace difficult coding interviews Learn how to approach and solve hard coding problems Learn to evaluate your code Learn to write efficient code This course is ideal for individuals who are Anyone who wants to become a better developer or Students familiar with Python programming looking to start a career in tech! or Any self taught programmer who missed out on a computer science degree or Any engineer, developer, programmer, who wants to improve their interviewing skills It is particularly useful for Anyone who wants to become a better developer or Students familiar with Python programming looking to start a career in tech! or Any self taught programmer who missed out on a computer science degree or Any engineer, developer, programmer, who wants to improve their interviewing skills.

Enroll now: Crack Coding Interviews:Data Structures + Algorithms-Python

Summary

Title: Crack Coding Interviews:Data Structures + Algorithms-Python

Price: $19.99

Number of Lectures: 156

Number of Quizzes: 11

Number of Published Lectures: 154

Number of Published Quizzes: 10

Number of Curriculum Items: 167

Number of Published Curriculum Objects: 164

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Ace coding interviews given by some of the top tech companies

Become more confident and prepared for your next coding interview

Cracking the Coding Interview questions with explanations

Become a better developer by mastering computer science fundamentals

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Learn everything you need to ace difficult coding interviews

Learn how to approach and solve hard coding problems

Learn to evaluate your code

Learn to write efficient code

Who Should Attend

Anyone who wants to become a better developer

Students familiar with Python programming looking to start a career in tech!

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

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

Target Audiences

Anyone who wants to become a better developer

Students familiar with Python programming looking to start a career in tech!

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

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

Welcome to Crack Coding Interviews:Data Structures + Algorithms-Python course. This course provides your with most extensive and modern data on Data Structures and Algorithms along with tips on how to get interviews, how to perform during technical and non-technical interview, handle offers, rejections and negotiations

This course is for

Self taught programmers

Students looking for a high paying job out of college

Software developers aspiring to join giant tech companies

Complete beginners with little skill in python

If you want to work at giant tech companies like Google, Facebook, Microsoft, Amazon, Netflix and many others etc.., but don’t know to where to start or intimidated by the process? Do you find yourself getting “stuck” at coding interviews? This course gives you confidence and knowledge to ace any coding interview. All the exercises and lessons and strategies taught in this course makes you capable to land offers from any company you want.

Many students are self taught programmers with high aspirations. They may feel discouraged due to lack of knowledge about computer science fundamentals compared to a college graduate. By competing this course, they can level with a  college graduate which gives a boost in their interviews

After finishing this course, you will have good knowledge about

Data Structures used in computer science

Algorithmic techniques required to solve all kinds of coding problems

Knowledge on how perform in each step of interview process

Hands on exercises on interview questions asked in big tech companies on each topic

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to succeed in this course

Lecture 3: Leetcode

Chapter 2: Interviews

Lecture 1: Resume

Lecture 2: When to apply for a job ?

Lecture 3: How to get Interviews!!

Lecture 4: How to perform in technical interviews

Lecture 5: Technical interview demo

Lecture 6: Summary

Chapter 3: BigO Notations

Lecture 1: Introduction

Lecture 2: What does large input mean?

Lecture 3: Asymptotic Notations

Lecture 4: Time Complexity

Lecture 5: O(1) – Constant Time

Lecture 6: O(n) – Linear Time

Lecture 7: O(n^2) – Quadratic Time

Lecture 8: O(logn) – Logarithmic Time

Lecture 9: Which time complexity is better?

Lecture 10: Rules of BigO

Lecture 11: RAM – Random Access Memory

Lecture 12: Space Complexity

Lecture 13: O(1) – Constant Space

Lecture 14: O(n) – Linear Space

Lecture 15: Time or Space ?

Chapter 4: Data Structures

Lecture 1: What is a data structure ?

Lecture 2: Why do we need data structures ?

Lecture 3: Data Structures classification

Lecture 4: Basic Operations on Data Structures

Chapter 5: Arrays

Lecture 1: What is an array?

Lecture 2: Types of arrays

Lecture 3: Arrays in memory

Lecture 4: Create and Insert

Lecture 5: Traversal

Lecture 6: Access

Lecture 7: Search : Linear Search

Lecture 8: Search : Binary Search

Lecture 9: Delete/Remove

Lecture 10: Summary

Lecture 11: When to use arrays?

Lecture 12: Resources

Chapter 6: Lists

Lecture 1: What is a list?

Lecture 2: Properties of a list

Lecture 3: List vs Array

Lecture 4: List operations : Create

Lecture 5: List operations : Access

Lecture 6: List operations : Insert

Lecture 7: List operations : Traversal

Lecture 8: Linear Search

Lecture 9: Binary Search

Lecture 10: List operations : Delete

Lecture 11: List slicing

Lecture 12: Other List operations

Lecture 13: Strings

Lecture 14: List comprehension and map

Lecture 15: Common mistakes

Lecture 16: Summary

Lecture 17: Resources

Chapter 7: List – Practice problems

Lecture 1: Copy & Reverse – Problem

Lecture 2: Copy & Reverse – Solution

Lecture 3: Reverse & Split – Problem

Lecture 4: Reverse & Split – Solution

Lecture 5: Rotate array – Problem

Lecture 6: Rotate array – Solution

Lecture 7: String compression – Problem

Lecture 8: String compression – Solution

Lecture 9: Chess tournament – Problem

Lecture 10: Chess tournament – Solution (Part – 1)

Lecture 11: Chess tournament – Solution (Part – 2)

Lecture 12: Chess tournament – Solution (Part – 3)

Lecture 13: Stocks – Problem

Lecture 14: Stocks – Solution

Lecture 15: Trapping rain water – Problem

Lecture 16: Trapping rain water – Solution (Part – 1)

Lecture 17: Trapping rain water – Solution (Part – 2)

Chapter 8: Data Structures : Hash Tables/Dictionaries

Lecture 1: What is a dictionary ?

Lecture 2: Why do we need dictionaries?

Lecture 3: Dictionaries in memory

Lecture 4: Create

Lecture 5: Access, Insert and Update

Lecture 6: Traversal

Lecture 7: Delete

Lecture 8: Collision resolution

Lecture 9: Built-in functions

Lecture 10: List vs Dictionary

Lecture 11: Summary

Chapter 9: Dictionary – Practice problems

Lecture 1: Design Hashmap – Problem

Lecture 2: Design Hashmap – Solution

Lecture 3: Longest Word – Problem

Instructors

Vidya Sagar H Penumatsa
Tutor, educator and freelancer

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