Coding Interview Preparation
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Coding Interview Preparation
This course is part of multiple programs.
Instructor: Taught by Meta Experts
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What you'll learn
Prepare for a coding interview
Prepare for a Meta interview
Solve problems using code
Details to know
12 assignments
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- 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
- Module quiz: Introduction to the coding interview•30 minutes
- Knowledge check: The coding interview•15 minutes
- Knowledge check: Time complexity•21 minutes
- Knowledge check: Space complexity•15 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
- Module quiz: Introduction to data structures•30 minutes
- Knowledge check: Basic data structures•15 minutes
- Knowledge check: Collection data structures•15 minutes
- Knowledge check: Advanced data structures•15 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
- Module quiz: Introduction to algorithms•30 minutes
- Knowledge check: Sorting and searching•15 minutes
- Knowledge check: Working with algorithms•15 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
2 videos•Total 11 minutes
- Course recap•8 minutes
- Course wrap up•2 minutes
2 readings•Total 10 minutes
- About the final graded assessment•5 minutes
- Next steps•5 minutes
1 assignment•Total 30 minutes
- Final graded assessment•30 minutes
1 discussion prompt•Total 10 minutes
- Reflect on learning•10 minutes
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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 Jan 25, 2024
Was a good test of skills. Might be tough if this is the first time you're ever studying all this, but for me I felt it was a nice refresher and skill update.
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.
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Financial aid available,