Meta

Coding Interview Preparation

This course is part of multiple programs.

Taught in English

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73,744 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(493 reviews)

|

96%

Intermediate level

Recommended experience

11 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Prepare for a coding interview

  • Prepare for a Meta interview

  • Solve problems using code

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(493 reviews)

|

96%

Intermediate level

Recommended experience

11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 4 modules in this course

In this introductory module, you'll learn about a coding interview, what it could consist of, and the types of coding interviews you might encounter. You’ll learn about how to prepare for a coding interview, focusing on communication and working with pseudocode. You will also get an introduction to computer science, including the fundamental concepts of Binary, Big O notation, and time and space complexity.

What's included

10 videos12 readings4 quizzes1 discussion prompt

The second module of this course covers data structures. You'll learn about the implementation and capabilities of data structures between various programming languages and the similar patterns of the overarching architecture. You will learn about basic data structures, such as strings, integers, arrays and objects, before moving on to collection data structures, including lists, stacks and trees, and advanced data structures, such as hash tables, heaps and graphs.

What's included

8 videos13 readings4 quizzes

In this module, you'll learn about algorithms. You'll cover common approaches to sorting and searching with algorithms. You’ll also explore the time and space complexity aspects of both sorting and searching. You will then learn more about working with algorithms, demonstrating how to visualize and problem solve with algorithmic approaches, such as divide and conquer, greedy algorithms and dynamic programming.

What's included

7 videos4 readings3 quizzes1 discussion prompt

In this module, you will be assessed on the key concepts and topics covered in the course.

What's included

2 videos2 readings1 quiz1 discussion prompt

Instructor

Instructor ratings
4.8 (105 ratings)
Taught by Meta Staff
Meta
129 Courses827,720 learners

Offered by

Meta

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4.6

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