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MICRO-COURSE

Data Structures & Algorithms

Data Structures & Algorithms: 17 short lessons, one for each concept. Arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, tries, searching, sorting, recursion, dynamic programming, greedy algorithms, backtracking, randomized algorithms, and complexity analysis.

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01 / WATCH

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02 / UNDERSTAND

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Arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, tries, searching, sorting, recursion, dynamic programming, greedy algorithms, backtracking, randomized algorithms, and complexity analysis.

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01

Concept scope

Data Structures & Algorithms: 17 short lessons, one for each concept. Arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, tries, searching, sorting, recursion, dynamic programming, greedy algorithms, backtracking, randomized algorithms, and complexity analysis.

03 / TRY IT

Prepare a focused example

  1. Choose one question about Data Structures & Algorithms that you want to answer.
  2. Write down a small example, its inputs or starting point, and the result you expect.
  3. Explain your reasoning and note what you would like reviewed in a live or 1:1 session.
Keep your work

A short example, reasoning and an open question

Check your understanding

  • Explain the concept in your own words and identify where it fits in the subject.
  • Show one small example, the expected result and the reasoning behind it.
  • Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP

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