Coding Interview Preparation

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Coding Interview Preparation

This course is part of multiple programs.

Instructor: Taught by Meta Experts

110,419 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

783 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

783 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

96%

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

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This course is available as part of

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

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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 videos Total 64 minutes

Introduction to the course 4 minutes
Introduction to the technical recruitment process 8 minutes
What is a coding interview? 8 minutes
Communication 6 minutes
What to expect from a technical interview 8 minutes
Binary 6 minutes
Memory 6 minutes
Time complexity 7 minutes
Space complexity 5 minutes
Module summary: Introduction to the coding interview 6 minutes

12 readings Total 105 minutes

Course syllabus 10 minutes
How to be successful in this course 10 minutes
Additional resources 5 minutes
Interview types you might expect 10 minutes
Pseudocode step by step 10 minutes
Interview tips 10 minutes
Testing your solution 10 minutes
Additional resources 5 minutes
Working in binary 10 minutes
Defining solutions 10 minutes
Working with time complexity 10 minutes
Additional resources 5 minutes

4 assignments Total 81 minutes

Knowledge check: The coding interview 15 minutes
Knowledge check: Time complexity 21 minutes
Knowledge check: Space complexity 15 minutes
Module quiz: Introduction to the coding interview 30 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 videos Total 49 minutes

Basic data structures 7 minutes
Lists and sets 6 minutes
Stacks and queues 5 minutes
Trees 5 minutes
Hash tables 7 minutes
Heaps 6 minutes
Graphs 5 minutes
Module summary: Introduction to data structures 8 minutes

13 readings Total 115 minutes

Strings 10 minutes
Integers 10 minutes
Booleans 10 minutes
Arrays 10 minutes
Objects 10 minutes
Additional resources 5 minutes
Lists and sets in different programming languages 10 minutes
Stacks and queues in different programming languages 10 minutes
Trees in different programming languages 10 minutes
Additional resources 5 minutes
Hash tables in different programming languages 10 minutes
Heaps and graphs in different programming languages 10 minutes
Additional resources 5 minutes

4 assignments Total 75 minutes

Knowledge check: Basic data structures 15 minutes
Knowledge check: Collection data structures 15 minutes
Knowledge check: Advanced data structures 15 minutes
Module quiz: Introduction to data structures 30 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 videos Total 39 minutes

Sorting Algorithms 8 minutes
Searching Algorithms 5 minutes
Divide and conquer 5 minutes
Recursion 6 minutes
Dynamic programming 6 minutes
Greedy algorithms 6 minutes
Module summary: Introduction to algorithms 4 minutes

4 readings Total 30 minutes

Time and space complexity in sorting algorithms 10 minutes
Time and space complexity in search algorithms 10 minutes
Additional resources 5 minutes
Additional resources 5 minutes

3 assignments Total 60 minutes

Knowledge check: Sorting and searching 15 minutes
Knowledge check: Working with algorithms 15 minutes
Module quiz: Introduction to algorithms 30 minutes

1 discussion prompt Total 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

(175 ratings)

Taught by Meta Experts

Offered by

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Reviewed on Dec 25, 2023

I am learn from meta coursera that develop my skills and learn new problem solution that how can manage so its good for everyone that will begin your journey from here .. thanks a lot Meta..

Reviewed on Mar 2, 2023

Excellent. Just make sure you practice over and over all the concepts learned in the course until you master it.

Reviewed on Sep 12, 2023

I gain my knowledge its more helpful and guide for coding practice and data structures and algorithms learn

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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.