Coding Interview Preparation

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Coding Interview Preparation

This course is part of multiple programs.

Instructor: Taught by Meta Experts

114,370 already enrolled

Included with

4 modules

Gain insight into a topic and learn the fundamentals.

820 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

820 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

95%

Most learners liked this course

What you'll learn

Prepare for a coding interview
Prepare for a Meta interview
Solve problems using code

Skills you'll gain

Category: Communication
Category: Technical Communication
Category: Computer Science
Category: Algorithms
Category: Programming Principles
Category: Software Visualization
Category: Theoretical Computer Science
Category: Software Design Patterns
Category: Computer Programming
Category: Data Structures
Category: Computational Thinking
Category: Pseudocode
Category: Graph Theory

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Meta

There are 4 modules in this course

The final course in this program will help prepare you for the unique aspects of a coding job interview, with approaches to problem-solving and computer science foundations needed to land the job. Ultimately you’ll gain strategic insights and tips for successful interviewing.

By the end of this course, you'll have knowledge of: • Appropriate communication during a coding interview •  Successful interviewing strategies • Using pseudocode •  The fundamentals of computer science • The capabilities of data structures and how to implement them • How to review data structures in the context of coding interviews •  The concept of algorithms and common approaches to working with them •  How to visualize an algorithm • Combining new and previously learned coding patterns to solve problems Ideally, you should have completed all the courses in this professional certificate.

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 assignments

10 videosTotal 64 minutes

Introduction to the course4 minutes
Introduction to the technical recruitment process8 minutes
What is a coding interview?8 minutes
Communication6 minutes
What to expect from a technical interview8 minutes
Binary6 minutes
Memory6 minutes
Time complexity7 minutes
Space complexity5 minutes
Module summary: Introduction to the coding interview6 minutes

12 readingsTotal 105 minutes

Course syllabus10 minutes
How to be successful in this course10 minutes
Additional resources5 minutes
Interview types you might expect10 minutes
Pseudocode step by step10 minutes
Interview tips10 minutes
Testing your solution10 minutes
Additional resources5 minutes
Working in binary10 minutes
Defining solutions10 minutes
Working with time complexity10 minutes
Additional resources5 minutes

4 assignmentsTotal 81 minutes

Module quiz: Introduction to the coding interview30 minutes
Knowledge check: The coding interview15 minutes
Knowledge check: Time complexity21 minutes
Knowledge check: Space complexity15 minutes

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 assignments

8 videosTotal 49 minutes

Basic data structures7 minutes
Lists and sets6 minutes
Stacks and queues5 minutes
Trees5 minutes
Hash tables7 minutes
Heaps6 minutes
Graphs5 minutes
Module summary: Introduction to data structures8 minutes

13 readingsTotal 115 minutes

Strings10 minutes
Integers10 minutes
Booleans10 minutes
Arrays10 minutes
Objects10 minutes
Additional resources5 minutes
Lists and sets in different programming languages10 minutes
Stacks and queues in different programming languages10 minutes
Trees in different programming languages10 minutes
Additional resources5 minutes
Hash tables in different programming languages10 minutes
Heaps and graphs in different programming languages10 minutes
Additional resources5 minutes

4 assignmentsTotal 75 minutes

Module quiz: Introduction to data structures30 minutes
Knowledge check: Basic data structures15 minutes
Knowledge check: Collection data structures15 minutes
Knowledge check: Advanced data structures15 minutes

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 assignments1 discussion prompt

7 videosTotal 39 minutes

Sorting Algorithms8 minutes
Searching Algorithms5 minutes
Divide and conquer5 minutes
Recursion6 minutes
Dynamic programming6 minutes
Greedy algorithms6 minutes
Module summary: Introduction to algorithms4 minutes

4 readingsTotal 30 minutes

Time and space complexity in sorting algorithms10 minutes
Time and space complexity in search algorithms10 minutes
Additional resources5 minutes
Additional resources5 minutes

3 assignmentsTotal 60 minutes

Module quiz: Introduction to algorithms30 minutes
Knowledge check: Sorting and searching15 minutes
Knowledge check: Working with algorithms15 minutes

1 discussion promptTotal 10 minutes

Where can you use algorithms?10 minutes

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

What's included

2 videos2 readings1 assignment1 discussion prompt

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Instructor

Instructor ratings

(178 ratings)

Taught by Meta Experts

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Reviewed on Mar 26, 2025

Ce cours est d'une performance inégalé et très bien structuré pour un apprentissage progressif

Reviewed on Apr 29, 2024

I did my CS degree in early 2000s and this course was a refresher on all things, the teaching is done in an engaging way, visuals in the videos are great!

Reviewed on Jun 25, 2024

THis course has helped how to face any kind of interviews whether it is online/offlline ..

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.