4.7
Intermediate
85h
Updated today
Grokking the Coding Interview Patterns in C++
The ultimate guide to coding interviews in C++, Grokking the Coding Interview Patterns in C++ teaches proven strategies developed by FAANG engineers to get interview-ready in just a few hours.
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With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. Yet with a strategic approach, coding interview prep doesn’t have to take more than a few weeks. Stop drilling endless sets of practice problems, and prepare more efficiently by learning coding interview patterns.
This course teaches you the underlying patterns behind common coding interview questions. By learning these essential patterns, you will be able to unpack and answer any problem the right way — just by assessing the problem statement. This approach was created by FAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.
Before long, you will have the skills you need to unlock even the most challenging questions, grok the coding interview, and level up your career with confidence.
This course is also available in JavaScript, Java, Python, C# and Go — with more coming soon!
With thousands of potential questions to account for, preparing for the coding interview can feel like an impossible challenge. ...Show More
WHAT YOU'LL LEARN
Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Identify the underlying pattern of each interview question by assessing the problem statement (and learn the tricks required to solve it)
Practice your skills in a hands-on, setup-free coding environment
Learn to efficiently evaluate the tradeoffs between time and space complexity in different solutions
Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns
Understand the essential patterns behind common coding interview questions — without having to drill endless problem sets
Show more
TAKEAWAY SKILLS
Content
1.
Getting Started
2 Lessons
Learn how to use coding patterns for effective interview preparation and problem-solving.
2.
Two Pointers
30 Lessons
Discover the logic behind the two pointers technique for efficiently solving array and string problems.
Introduction to Two PointersValid PalindromeSolution: Valid Palindrome3SumSolution: 3SumRemove Nth Node from End of ListSolution: Remove Nth Node from End of ListSort ColorsSolution: Sort ColorsReverse Words in a StringSolution: Reverse Words in a StringValid Word AbbreviationSolution: Valid Word AbbreviationStrobogrammatic NumberSolution: Strobogrammatic NumberMinimum Number of Moves to Make PalindromeSolution: Minimum Number of Moves to Make PalindromeNext Palindrome Using Same DigitsSolution: Next Palindrome Using Same DigitsLowest Common Ancestor of a Binary Tree IIISolution: Lowest Common Ancestor of a Binary Tree IIICount Pairs Whose Sum is Less than TargetSolution: Count Pairs Whose Sum is Less than TargetCount Subarrays With Fixed BoundsSolution: Count Subarrays With Fixed BoundsGet the Maximum ScoreSolution: Get the Maximum ScoreFind the Lexicographically Largest String From Box IISolution: Find the Lexicographically Largest String From Box IIValid Palindrome II
3.
Fast and Slow Pointers
21 Lessons
Examine fast and slow pointers for cycle detection, middle node finding, and linked list manipulations.
4.
Sliding Window
31 Lessons
Find out about the sliding window technique for solving subarray and substring problems efficiently.
5.
Merge Intervals
16 Lessons
Dig into handling overlapping intervals, merging, insertion, intersections, free time, and scheduling tasks.
6.
In-Place Manipulation of a Linked List
24 Lessons
Simplify complex topics of in-place linked list manipulations including reversal, reordering, and swapping nodes efficiently.
7.
Heaps
25 Lessons
Master the steps to solve dynamic data problems using heaps, optimizing efficiency.
8.
K-way merge
15 Lessons
Step through efficiently merging, finding k-th smallest, and identifying smallest sums in sorted data.
9.
Top K Elements
33 Lessons
Get started with identifying Top K elements efficiently using heaps and frequency.
10.
Modified Binary Search
30 Lessons
Master the steps to efficiently search through sorted and rotated arrays using modified binary search techniques.
11.
Subsets
14 Lessons
Grasp the fundamentals of solving coding problems involving subsets, permutations, and combinations.
12.
Greedy Techniques
31 Lessons
Solve problems in optimization with greedy algorithms, ensuring efficient, practical solutions.
13.
Backtracking
31 Lessons
Follow the process of solving combinatorial problems through backtracking.
14.
Dynamic Programming
36 Lessons
Master the steps to solve complex optimization problems using dynamic programming techniques in C++.
15.
Cyclic Sort
12 Lessons
Step through sorting algorithms to solve missing and duplicate integer problems efficiently.
16.
Topological Sort
18 Lessons
Get started with topological sorting to manage dependencies in tasks, courses, and custom orders.
17.
Sort and Search
31 Lessons
Solve problems by organizing data through sorting and applying binary search, two-pointer, and sliding window for efficient solutions.
18.
Matrices
33 Lessons
Work your way through matrix operations, traversal techniques, and essential problem-solving algorithms.
19.
Stacks
26 Lessons
Grasp the fundamentals of stacks, their applications, and various algorithmic implementations.
20.
Graphs
31 Lessons
Dig deeper into graph theory, exploring applications, algorithms, and solving complex problems.
21.
Tree Depth-First Search
33 Lessons
Simplify complex topics in binary trees, DFS traversal, transformations, and search algorithms.
22.
Tree Breadth-First Search
20 Lessons
Piece together the parts of tree breadth-first search techniques for effective tree traversal and manipulation.
23.
Trie
22 Lessons
Learn how to use a Trie for string manipulation, search suggestions, and efficient data storage.
24.
Hash Maps
36 Lessons
Look at understanding and implementing HashMaps for efficient data storage and retrieval.
25.
Knowing What to Track
30 Lessons
Break apart knowing what to track for effective frequency analysis in coding problems.
26.
Union Find
24 Lessons
Grasp the fundamentals of union-find to efficiently solve graph connectivity problems.
27.
Custom Data Structures
28 Lessons
Deepen your knowledge of custom data structures for enhanced functionality and efficient problem-solving.
28.
Bitwise Manipulation
30 Lessons
Focus on bitwise operations, their applications in efficient problem-solving, and practical coding exercises.
29.
Math and Geometry
37 Lessons
Explore mathematical and geometric concepts to solve various coding challenges efficiently.
30.
Challenge Yourself
40 Lessons
Test your understanding of coding interview challenges to apply and reinforce your skills.
31.
Conclusion
1 Lessons
Get familiar with additional courses to enhance your coding interview skills.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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