We may earn an affiliate commission when you visit our partners.

Coding Interview Preparation

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

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

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.

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

Show steps

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

Show steps

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

Show steps

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

Show steps

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Backend Developer

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.

See salaries and explore the career path for Web Developer

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.

See salaries and explore the career path for Full-Stack Developer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for 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.

See salaries and explore the career path for IT Auditor

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.

See salaries and explore the career path for Information Systems Manager

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.

See salaries and explore the career path for Computer Scientist

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Software Architect

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.

See salaries and explore the career path for 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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for IT Consultant

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.

Cracking the Coding Interview

Save

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.

Cracking the Coding Interview: 189 Programming...

Paperback

Cracking the Coding Interview : 189 Programming...

Paperback

Cracking the Coding Interview: 150 Programming...

Paperback

Cracking the Coding Interview (Indian Edition)

Hardcover

Algorithms Unlocked

Save

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.

Coding Interview Preparation

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses