Data Structures and Algorithms for Coding Interview
Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving
Ratings 4.88 / 5.00
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.
Description
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:
What is a good strategy of resizing a dynamic array?
How priority queues are implemented in C++, Java, and Python?
How to implement a hash table so that the amortized running time of all operations is O(1) on average?
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!
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
