Master Problem Solving Coding Interview Case Study
Published 11/2025
Duration: 46m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 239.84 MB
Genre: eLearning | Language: English
Published 11/2025
Duration: 46m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 239.84 MB
Genre: eLearning | Language: English
Walk through a real-world Problem-Solving interview Case Study with a proven Solution Framework
What you'll learn
- Learn to analyze coding problems, clarify requirements, and define inputs and outputs before coding.
- Design and validate algorithms using edge cases, visualizations, and manual reasoning techniques.
- Write clean, readable code with meaningful names, comments, and structure while explaining your logic.
- Adapt to evolving interview challenges, avoid common pitfalls, and reflect to improve future performance.
Requirements
- Solid grasp of programming fundamentals, including control flow, data structures, and recursion.
- Ability to write and debug code confidently in at least one language
- Familiarity with algorithmic concepts like time complexity, edge cases, and optimization strategies.
Description
This course is built around a practical case study that simulates a real coding interview. You will follow a structured framework designed to help you think, communicate, and code like a top-tier candidate. Each step is demonstrated on screen, just as it would be in a live interview setting. The walkthrough includes everything from reading the problem carefully and clarifying requirements, to validating assumptions and defining inputs and outputs.
You will learn how to identify relevant inputs for complexity analysis and how to treat others as constants. The course emphasizes the importance of edge case thinking before choosing or building an algorithm. Visualization techniques are used to track logic and edge cases, helping you communicate your thought process clearly to the interviewer.
As you progress, you will practice approaching problems manually, validating your algorithm with scenarios, and calculating complexity before attempting optimization. The implementation phase focuses on writing clean, readable code with meaningful variable names and comments. You will also learn how to handle evolving problem scopes, break down missing pieces, and avoid common coding pitfalls like null references and off-by-one errors.
Finally, the course encourages reflection after each session to reinforce learning and prepare you for future interviews. This is not just theory. it is a hands-on, interview-style experience.
Who this course is for:
- Developers who want to land a job by mastering coding interviews. Whether you're aiming for FAANG or your first tech role, you'll learn how to solve problems under pressure and communicate your thinking with confidence.
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