Data Structures and Algorithms for Coding Interview

Data Structures and Algorithms for Coding Interview, available at $54.99, has an average rating of 4.8, with 13 lectures, based on 5 reviews, and has 1238 subscribers.

You will learn about Become a better developer by mastering computer science fundamentals Use the right Data Structures and Algorithms to pass coding interview questions that have the optimal solution Learn how to use Python tools to solve exercises using strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more. Check your solutions with detailed step-by-step video lectures that explain how to solve each challenge. This course is ideal for individuals who are if you want to work a Facebook, Google, Amazon, Microsoft, Apple, Netflix or other top tech companies or University students who wish to develop their problem-solving and computational-thinking skills It is particularly useful for if you want to work a Facebook, Google, Amazon, Microsoft, Apple, Netflix or other top tech companies or University students who wish to develop their problem-solving and computational-thinking skills.

Enroll now: Data Structures and Algorithms for Coding Interview

Summary

Title: Data Structures and Algorithms for Coding Interview

Price: $54.99

Average Rating: 4.8

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Become a better developer by mastering computer science fundamentals

Use the right Data Structures and Algorithms to pass coding interview questions that have the optimal solution

Learn how to use Python tools to solve exercises using strings, lists, tuples, dictionaries, conditionals, loops, recursion, files, and more.

Check your solutions with detailed step-by-step video lectures that explain how to solve each challenge.

Who Should Attend

if you want to work a Facebook, Google, Amazon, Microsoft, Apple, Netflix or other top tech companies

University students who wish to develop their problem-solving and computational-thinking skills

Target Audiences

if you want to work a Facebook, Google, Amazon, Microsoft, Apple, Netflix or other top tech companies

University students who wish to develop their problem-solving and computational-thinking skills

HI THERE!

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this online course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.

A FEW EXAMPLES OF QUESTIONS THAT WE ARE GOING TO COVER IN THIS COURSE:

1. What is a good strategy of resizing a dynamic array?

2. How priority queues are implemented in C++, Java, and Python?

3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?

4. What are good strategies to keep a binary tree balanced?

WHAT YOU WILL LEARN

Explain the principles of data structures & how they are used

Create programs that are able to read and write data from files

Store data as key/value pairs using Python dictionaries

Accomplish multi-step tasks like sorting or looping using tuples

SKILLS YOU WILL GAIN

Python Syntax And Semantics

Data Structure

Tuple

Python Programming

GOOD LUCK!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Problem 1: Move Zeros

Lecture 1: Move Zeros Problem

Chapter 3: Problem 2: Reverse String

Lecture 1: Reverse String Problem

Chapter 4: Problem 3: Invert Binary Tree

Lecture 1: Invert Binary Tree

Chapter 5: Problem 4: Best Time to Buy and Sell Stock

Lecture 1: Best Time to Buy and Sell Stock

Chapter 6: Problem 5: Happy Number

Lecture 1: Happy Number

Chapter 7: Problem 6: Search in a Binary Search Tree

Lecture 1: Search in a Binary Search Tree

Chapter 8: Problem 7: Single Number

Lecture 1: Single Number

Chapter 9: Problem 8: Plus One

Lecture 1: Plus One

Chapter 10: Problem 9: Jewels and Stones

Lecture 1: Jewels and Stones

Chapter 11: Problem 10: Valid Perfect Square

Lecture 1: Valid Perfect Square

Chapter 12: Final Projects

Lecture 1: Challenge 1

Lecture 2: Challenge 2

Instructors

Nazim Cherpanov | Programming Courses
Programming Courses

Emil Mamedov
Professional Developer

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4 stars: 1 votes

5 stars: 4 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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