Coding Interview Preparation

Coding Interview Preparation

This course is part of multiple programs.

Instructor: Taught by Meta Staff

What you'll learn

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

Skills you'll gain

Algorithms

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

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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 assignments1 discussion prompt

10 videosTotal 63 minutes

Introduction to the course4 minutesPreview module
Introduction to the technical recruitment process8 minutes
What is a coding interview?7 minutes
Communication5 minutes
What to expect from a technical interview8 minutes
Binary6 minutes
Memory5 minutes
Time complexity7 minutes
Space complexity5 minutes
Module summary: Introduction to the coding interview5 minutes

12 readingsTotal 105 minutes

Course syllabus10 minutes
How to be successful in this course10 minutes
Additional resources5 minutes
What type of interviews might you 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

1 discussion promptTotal 10 minutes

What do you hope to learn?10 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 structures6 minutesPreview module
Lists and sets6 minutes
Stacks and queues5 minutes
Trees5 minutes
Hash tables7 minutes
Heaps5 minutes
Graphs5 minutes
Module summary: Introduction to data structures7 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.