We may earn an affiliate commission when you visit our partners.
Course image
Taught by Meta Staff

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

Read more

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.

Enroll now

What's inside

Syllabus

Introduction to the coding interview
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.
Read more
Introduction to Data Structures
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.
Introduction to Algorithms
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.
Final project
In this module, you will be assessed on the key concepts and topics covered in the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers essential tools and knowledge for those interested in software engineering
Succinctly covers the necessary material for a coding interview
Shares strategies for enhancing communication skills during interviews
Reviews the fundamentals of computer science, providing a strong foundation
Provides a comprehensive overview of data structures and algorithms

Save this course

Save Coding Interview Preparation to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Coding Interview Preparation with these activities:
Review Basic Programming Concepts
Refresh your fundamental programming skills to ensure a solid foundation for the course material and to facilitate a smoother learning experience.
Browse courses on Programming Basics
Show steps
  • Review your previous notes or online resources on basic programming concepts.
  • Practice writing simple code snippets to reinforce your understanding.
Complete Online Coding Tutorials
Supplement your learning with guided tutorials to deepen your understanding of specific concepts, explore different programming languages, and practice coding problems.
Browse courses on Online Courses
Show steps
  • Identify areas where you need additional support or want to expand your knowledge
  • Research and select reputable online platforms or tutorials that cover those topics
  • Follow the tutorials step-by-step, implementing code and completing exercises
  • Use the online forums or discussion sections to ask questions and engage with other learners
Solve Leetcode or HackerRank Problems
Practice solving coding problems on platforms like LeetCode or HackerRank to enhance your problem-solving skills and solidify your understanding of key algorithms and data structures.
Show steps
  • Choose a platform and sign up
  • Select a problem to solve
  • Read the problem statement carefully
  • Design an algorithm to solve the problem
  • Implement the algorithm in your preferred programming language
  • Test your solution to ensure correctness
  • Optimize your solution for efficiency and accuracy
One other activity
Expand to see all activities and additional details
Show all four activities
Join a Study Group or Discuss with Peers
Engage in collaborative learning by joining a study group or connecting with peers to discuss course material, clarify concepts, and share insights.
Browse courses on Collaboration
Show steps
  • Find a study group or connect with classmates who are interested in forming a study group
  • Schedule regular meetings to discuss specific topics
  • Take turns facilitating discussions and present different perspectives
  • Work together to solve problems and apply concepts

Career center

Learners who complete Coding Interview Preparation will develop knowledge and skills that may be useful to these careers:
Software Engineer
A Software Engineer designs, develops, and maintains computer software. A background in computer science is crucial to success, and coursework that covers data structures, algorithms, and coding interviews, such as this course, may help build a foundation for a career in this field.
Backend Developer
A Backend Developer develops and maintains the server side of web applications and is responsible for the functioning of a website. This course covers topics that can help build a strong foundation for Backend Developers, including data structures, algorithms, and coding interviews.
Web Developer
A Web Developer is responsible for the design and development of websites. This course provides a good introduction to the fundamentals of programming that are essential for Web Developers.
Full-Stack Developer
A Full Stack Developer is responsible for both the front end and back end of web applications and must have experience with a variety of programming languages, data structures, and algorithms. This course may be useful to one interested in learning more about these core concepts.
Data Scientist
A Data Scientist gathers, analyzes, and interprets data to extract meaningful insights. Knowledge of data structures, algorithms, and programming are important to success in this field. This course may be useful for building upon those essential fundamentals.
Computer Programmer
A Computer Programmer writes and tests code for software applications. This course provides a valuable foundation in data structures, algorithms, and programming concepts that are essential to a Computer Programmer.
IT Auditor
An IT Auditor evaluates the security and effectiveness of an organization's IT systems and processes. This course may be helpful for gaining the necessary skills in data management and computer science fundamentals.
Information Systems Manager
An Information Systems Manager plans, coordinates, and directs the activities of an organization's information systems department. This course may be helpful for gaining the necessary skills in data management and computer science fundamentals.
Computer Scientist
A Computer Scientist conducts research in the field of computer science and develops new theories and techniques. This course, with its coverage of computer science fundamentals, algorithms, and data structures, may be of help to someone interested in pursuing this career.
Technical Writer
A Technical Writer creates instruction manuals, technical reports, and other documentation for software and hardware products. This course can help build a strong foundation in computer science fundamentals and technical writing.
Systems Analyst
A Systems Analyst analyzes and designs computer systems. This course may be helpful for building a foundation in computer science and programming fundamentals that are essential for this role.
Software Architect
A Software Architect designs and develops the overall structure of software systems. This course, which covers topics such as data structures and algorithms, may be of help to someone interested in pursuing this career.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course covers foundational topics in data structures, algorithms, and programming that are useful for a Data Analyst.
Database Administrator
A Database Administrator is responsible for the maintenance and administration of databases. Familiarity with data structures is important for success in this role, and this course provides a thorough overview of the subject.
IT Consultant
An IT Consultant provides guidance and assistance to organizations on how to use information technology effectively. This course offers a broad overview of computer science fundamentals that are helpful for IT Consultants.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Coding Interview Preparation.
Classic resource for preparing for coding interviews. It provides a comprehensive overview of common interview questions and solutions, as well as practical advice on how to prepare for and perform well in interviews.
This classic textbook provides a comprehensive introduction to the fundamentals of algorithms. It covers a wide range of topics, including sorting, searching, graph algorithms, and dynamic programming.
This is another comprehensive textbook on algorithms. It more advanced treatment than 'Algorithms Unlocked', and it covers a wider range of topics.
Provides a practical guide to designing efficient algorithms. It covers a wide range of techniques, including divide-and-conquer, dynamic programming, and greedy algorithms.
This textbook provides a comprehensive introduction to data structures and algorithms in Java. It covers a wide range of topics, including arrays, lists, stacks, queues, trees, and graphs.
Provides a more accessible introduction to data structures and algorithms than most other textbooks. It uses a visual approach to help students understand complex concepts.
This classic book provides insights into the challenges of software engineering. It must-read for anyone who wants to understand the complexities of software development.
Provides a comprehensive guide to software construction. It covers a wide range of topics, including requirements gathering, design, coding, testing, and maintenance.
Provides a practical guide to writing clean and maintainable code. It covers a wide range of topics, including naming conventions, formatting, and error handling.
This textbook provides a comprehensive introduction to operating systems. It covers a wide range of topics, including process management, memory management, and file systems.
Provides a unique perspective on computer systems by building one from scratch. It covers a wide range of topics, including computer architecture, operating systems, and programming languages.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Coding Interview Preparation.
Ace the Computer Science Interview: Strategies for Success
Most relevant
Learning Data Structures in JavaScript from Scratch
Most relevant
Master the Coding Interview: Data Structures + Algorithms
Most relevant
Blind 75 LeetCode Questions: Ace Algorithms Coding...
Most relevant
Interviewing, Negotiating a Job Offer, and Career Planning
Most relevant
Ace The Data Science Interview: Real-Life Examples and...
Most relevant
Python for Data Structures, Algorithms, and Interviews!
Most relevant
Data Structures and Algorithms Bootcamp
Most relevant
Data Structures and Algorithms in C++ For Coding Interview
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser