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LEETCODE In C++ - Top 100 Coding Interview Problems
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LEETCODE In C++ - Top 100 Coding Interview Problems

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This specialization helps you prepare for coding interviews by solving top LeetCode problems using C++. You will strengthen problem-solving skills, develop algorithmic thinking, and build confidence in analyzing time and space complexity to approach interviews with clarity and precision. You will start with fundamentals like Big O notation and complexity analysis to understand performance trade-offs. The specialization then covers essential data structures such as arrays, linked lists, stacks, and hash tables, reinforced through practical interview-style problems. As you advance, you will explore techniques like sliding window, two pointers, recursion, backtracking, and binary search. You will also work with trees, heaps, dynamic programming, and graphs to solve more complex challenges efficiently. Designed for aspiring software engineers, students, and professionals, this intermediate-level specialization requires basic C++ knowledge. By the end, you will be able to analyze algorithms, apply optimized solutions, and confidently tackle technical coding interviews.

B

75/100

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What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

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What you'll learn

  • problem-solving skills
  • algorithmic thinking
  • time and space complexity analysis
  • understanding of data structures
  • application of coding techniques like recursion and dynamic programming

Course objectives

  • help learners prepare for coding interviews
  • strengthen programming fundamentals
  • build confidence in performance trade-offs
Machine Learning #backtracking #heaps #data structures #arrays #c# #recursion #graphs #hash tables #trees #coding interviews #dynamic programming #linked lists #binary search #stacks #big o notation #sliding window #two pointers
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