DS Unit 2 - Sprint 8: Technical Interview Prep

Welcome to Sprint 8

Welcome to Sprint 8: Technical Interview Preparation! This sprint focuses on developing the problem-solving skills and technical knowledge needed to excel in coding interviews. You'll learn systematic approaches to tackle coding challenges, practice with common interview problems, and build your professional online presence.

Learning Objectives

By the end of this sprint, you should be able to:

  • Apply a structured problem-solving framework to approach technical challenges systematically
  • Implement and optimize solutions for string-based problems, including palindrome detection
  • Create and manipulate 2D arrays and implement moving window algorithms
  • Analyze the time and space complexity of your algorithms
  • Build a professional GitHub profile that showcases your technical skills
  • Craft a resume that effectively communicates your value to potential employers

Modules

This sprint is structured to provide you with a comprehensive preparation for technical interviews, focusing on both algorithmic problem-solving and professional presentation:

Module 1

Problem-Solving Framework

Learn a systematic approach to solving technical problems through understanding, planning, executing, and reflecting.

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Module 2

Technical Preparation - Palindromes

Dive into palindrome problems as a gateway to string manipulation techniques commonly tested in interviews.

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Module 3

Technical Preparation - Arrays and Moving Windows

Explore 2D arrays and the moving window technique, essential patterns for tackling array-based interview questions.

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Module 4

Career Readiness - GitHub + Resume

Build an impressive GitHub profile and craft a compelling resume to showcase your skills to potential employers.

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Sprint Resources

Additional Practice

How to Succeed in This Sprint

  1. Be consistent with practice: Solving technical problems is a skill that improves with regular practice.
  2. Apply the problem-solving framework: Use the four-step approach for all problems you encounter.
  3. Analyze your solutions: Always consider the time and space complexity of your code.
  4. Participate actively: Engage in Code-Alongs and ask questions when needed.
  5. Build your portfolio: Update your GitHub profile with projects from this sprint.