Mastering the Software Engineering Interview
- 4.6
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Approx. 21 hours to complete
Course Summary
Learn the skills needed to ace technical interviews for software engineering roles. This course covers the fundamentals of algorithms and data structures commonly used in technical interviews.Key Learning Points
- Learn how to effectively prepare for technical interviews
- Understand common algorithms and data structures used in interviews
- Practice solving interview-style coding problems
Job Positions & Salaries of people who have taken this course might have
- Software Engineer
- USA: $95,000 - $140,000
- India: ₹900,000 - ₹2,000,000
- Spain: €30,000 - €50,000
- Software Developer
- USA: $75,000 - $120,000
- India: ₹500,000 - ₹1,500,000
- Spain: €20,000 - €40,000
- Web Developer
- USA: $60,000 - $90,000
- India: ₹300,000 - ₹1,000,000
- Spain: €18,000 - €30,000
Related Topics for further study
Learning Outcomes
- Understand common algorithms and data structures used in technical interviews
- Develop effective strategies for preparing for technical interviews
- Practice solving interview-style coding problems
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge in a language such as Java or Python
- Familiarity with common algorithms and data structures
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Algorithms, Part I
- Data Structures and Algorithms Specialization
Related Education Paths
Related Books
Description
You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice!
Outline
- Welcome & What is a Software Engineering Interview?
- Course Introduction
- Course Goals
- Why Soft Skills?
- Google engineers share their stories
- The Application Process
- Preparing for the Interview
- Researching the Company
- Effective Resumes
- Resume critique recap
- People Involved
- What is a technical phone screen or interview?
- What Is an In-Person Interview?
- When I struggled: Overcoming a tough interview experience
- The value of your introduction
- Good and bad example introductions
- Prerequisites and how to get the most out of this course
- After completing this course, you will be able to...
- By the end of this week, you will be able to...
- Interview prep resources
- Congratulations and quiz answers
- Where do you want to start?
- Preparing for the interview
- Resume critique
- Your experience
- Where do you want to go next?
- End of Week Quiz
- Welcome & What is a Software Engineering Interview?: Lesson Choices
- Screen and video recording tips
- Introductions (self-assessment)
- Live coding: the technical phone interview and beyond
- Welcome and Introduction to Live Coding
- Cold Live Coding Assignment Walkthrough
- Sample demonstrating key pitfalls
- Talking Through Processes
- Getting Started
- Getting Stuck and Recovering from Mistakes
- Correctness and Testing
- A Very Good Phone Interview
- When I struggled: a first technical phone interview
- Imposter Syndrome and Stereotype Threat
- Growth mindset
- Imposter Syndrome Gallery
- By the end of this week, you will be able to...
- Resources for finding problems to practice with
- Growth Mindset and Stereotype Threat: Additional Information and Resources
- Cold Live Coding Assignment
- Your evaluation criteria
- Self-assessment
- Imposter syndrome and growth mindset
- Live coding assignment, take 2
- Live coding take 2, self assessment
- Explaining what you've already done
- Welcome and Introduction to Personal Narrative
- Sample Pitch, Broadly Technical
- Sample Pitch, Non-Technical
- Sample Pitch, Technical
- Personal Narrative: Key Aspects
- Making the Problem Compelling
- Common Pitfall: Mixing Problem and Solution
- Common Pitfall: Assuming Too Much
- Presenting Your Solution
- Common Pitfall: In the Weeds
- Common Pitfall: Chronology
- Visual Aids
- Eye Contact, Speaking, and Projecting Excitement
- When I struggled: A surprising discovery
- Responding to Your Audience
- Describing a group project
- By the end of this week, you will be able to...
- Planning your narrative
- Explaining what you've already done: Lesson Choices
- Assignment Overview
- Describe your work
- Algorithmic thinking on the fly
- Welcome to algorithmic problem solving
- Algorithmic problem solving and interviews
- Case study: introduction
- Case study: a first solution
- Case study: working at the whiteboard
- Case study: going deeper
- Case study: next steps
- When I struggled: dealing with nerves
- In the real world: career advice
- Evaluation criteria
- Highlights from a good mock interview
- Pitfalls in a bad mock interview
- What's next?
- End of course message
- Appendix: full-length mock phone interview
- Appendix: full-length mock bad in-person interview
- Appendix: full-length mock good in-person interview
- By the end of this week, you will be able to...
- Study notes
- Evaluation questions
- Interview Question Solutions--DON'T PEEK
- Additional Resources
- Your experience
- Evaluating the mock interviews
- Solving algorithmic problems on the fly: Part 1
- Record your live problem-solving session
- Solving Algorithmic Problems on the Fly: Part 2 (self-assessment)
Summary of User Reviews
Learn how to ace your tech interview with Coursera's CS Tech Interview course. Users have praised the course's comprehensive curriculum and helpful practice problems. However, some have noted that the course can be quite challenging and may require prior programming knowledge.Key Aspect Users Liked About This Course
comprehensive curriculumPros from User Reviews
- Great preparation for technical interviews
- Practice problems are helpful for reinforcing concepts
- Instructors are knowledgeable and engaging
Cons from User Reviews
- Course can be challenging for beginners
- Some sections may require prior programming knowledge
- Course material is quite dense and requires time commitment
Mia Minnes
4.6 Raiting
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