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.
Coding Interview Preparation
This course is part of multiple programs.
Instructor: Taught by Meta Staff
81,942 already enrolled
Included with
(576 reviews)
Recommended experience
What you'll learn
Prepare for a coding interview
Prepare for a Meta interview
Solve problems using code
Skills you'll gain
- Category: Data Structure
- Category: Computer Science
- Category: Algorithms
- Category: Communication
- Category: Pseudocode
Details to know
Add to your LinkedIn profile
12 assignments
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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 assignments1 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 assignments
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
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
Instructor
Offered by
Why people choose Coursera for their career
Learner reviews
Showing 3 of 576
576 reviews
- 5 stars
77.33%
- 4 stars
14.53%
- 3 stars
4.32%
- 2 stars
2.76%
- 1 star
1.03%
Reviewed on Mar 2, 2023
Reviewed on Dec 25, 2023
Reviewed on Jan 25, 2024
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.