Coding Interview Preparation

Instructor: Taught by Meta Staff

Intermediate Level • 5 hours to complete • Flexible Schedule

What You'll Learn

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

Skills You'll Gain

Pseudocode
Algorithms
Data Structures
Computational Thinking
Software Visualization
Computational Logic
Program Development
Programming Principles
Computer Science
Technical Communication

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • 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

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.

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.

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.

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