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
Coding Interview Preparation
This course is part of multiple programs.
Instructor: Taught by Meta Staff
Sponsored by Southeastern University
82,547 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(586 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 11 hours
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.
- 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
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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
Instructor ratings
4.8 (121 ratings)Offered by
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