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電腦科學

Data Structures and Algorithms

甄選並驗證:Roger Chen, Software Engineer, Meta
學習時長:約 12 小時
授課語言English · 简体中文 · Español
US$12.00永久存取
結業證書可驗證 · 可分享
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Most people prep for coding interviews by grinding hundreds of LeetCode problems and hoping the right one shows up. Then the interviewer asks a variation, and they freeze. This course takes the opposite approach. Instead of 150 solutions, you'll master the ~20 patterns that actually generate them — sliding window, two pointers, monotonic stack, backtracking, graph traversal, dynamic programming, and the rest. Every lesson teaches one mental model: when to reach for it, the exact template, and how to adapt it. By the end you'll look at any unfamiliar problem, read its clues, and know which pattern fits. Across 44 lessons you'll cover every problem in Blind 75, NeetCode 150, and the Grokking pattern set — in a deliberate, prerequisite-ordered path that builds from complexity basics to a master "decision tree" and live interview execution. Worked examples are language-agnostic, then rendered in your language and aimed at your target companies. You don't need to be a genius or memorize everything. You need a system. Enroll and build one that makes the next variation feel familiar.

課程目錄

關於課程作者

Roger Chen
Roger Chen
Software Engineer, Meta

For Roger, the interesting part of artificial intelligence begins after the experiment succeeds. His work has involved turning research prototypes into dependable software: packaging language and vision models behind production APIs, building distributed data and feature pipelines, automating training and deployment, and monitoring accuracy, latency, drift, and infrastructure cost once systems are live. He has contributed to recommendation engines, document-understanding tools, forecasting services, and generative-AI applications using Python, C++, PyTorch, cloud platforms, and containerized infrastructure. Equally comfortable profiling an inference bottleneck, reviewing model behavior with data scientists, or explaining tradeoffs to a product team, Julian specializes in closing the distance between a promising model and a product people can actually rely on.

評價 (12)

4 / 5
  • Tim

    Good structure to follow along to get a big picture of the coding interview. But don't expect that you can become an "expert" after finishing the course. You still need to practice hundreds of hours on leetcode - but the big picture really help you find the pattern in your practice

  • Mahesh

    This course covers a wide range of aspects in DSA, without going into any depth. Some people might say this is not deep enough to be an expert, but honestly this is all we need in the time when AI does the real deep work

  • Beatrice

    This course is mostly AI generated, but that's exactly what I need - not bounded by one guy's knowledge limit

  • Ulyses

    Gracias por preparar el curso en español

  • Ayush

    You can probably get away in coding interview by throwing around a lot of the terminologies you learn in this crash course