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Foundations

6 posts to Build your Interview Foundation

Before tackling specific data structures or algorithms, every strong candidate needs a repeatable framework for approaching unfamiliar problems under pressure. This track covers time and space complexity, the most important algorithms and data structures to know, and the 10-step interview method used throughout this entire course.

Why it matters:

Interviewers aren't just evaluating whether you get the right answer — they're watching how you think out loud, handle ambiguity, and structure your approach before writing code. The habits built in this track are what separate candidates who pass from candidates who almost pass.

01

A Step-by-Step Guide to Solving Technical Interview Questions

02

Avoiding the Pitfalls: The Most Common Coding Interview Mistakes

03

Time and Space Complexity Refresher

04

Important Algorithms to Master

05

Top Data Structures to Master for Technical Interviews

06

Recursion Revisited

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