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:
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What is a good strategy of resizing a dynamic array?
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How priority queues are implemented in C++, Java, and Python?
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How to implement a hash table so that the amortized running time of all operations is O(1) on average?
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What are good strategies to keep a binary tree balanced?
WHAT YOU WILL LEARN
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Explain the principles of data structures & how they are used
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Create programs that are able to read and write data from files
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Store data as key/value pairs using Python dictionaries
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Accomplish multi-step tasks like sorting or looping using tuples
SKILLS YOU WILL GAIN
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Python Syntax And Semantics
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Data Structure
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Tuple
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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
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Nazim Cherpanov | Programming Courses
Programming Courses -
Emil Mamedov
Professional Developer
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 4 votes
Frequently Asked Questions
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