
Count the set bits for numbers 0 to n using bit manipulation, with bitwise and and left shift, to solve a common LeetCode problem.
Master recursive reversal of a linked list from the head. Define f(current) to reverse the sublist starting at current, update head to the last node, and return the current node.
Determine whether a binary tree is symmetric by comparing the left and right subtrees as mirror images using a recursive approach.
Scan a binary array to find the maximum number of consecutive ones. Maintain a running count of ones, reset on zero, and update the best answer as you go.
Apply the xor method to find the missing number in a 0..n range array by computing the xor of all numbers 0..n and the array.
Master the move zeros problem, based on a partitioning approach, by moving non-zero elements to the front with a start pointer, preserving their order while shifting zeros to the end.
Master the maximum sum subarray problem with Kadane's algorithm for the largest contiguous subarray sum. Use a linear approach with current sum and max so far, O(n) time, O(1) space.
Find the kth largest element in an array with a min-heap of size k, contrasting sort-based and heap-based approaches and noting the O((n−k) log k) time, O(k) space.
Discover how to solve the coin change problem using dynamic programming to minimize the number of coins. Learn why greedy fails, implement memoization, and analyze time and space complexity.
Explore decoding ways with dynamic programming, counting all valid interpretations of digit strings mapped to letters from 1 to 26, with cross-language implementations.
Master the maximum subarray problem and apply Kadane's algorithm to find the contiguous subarray with the largest sum. Explore its linear time, constant space implementation across Java, Python, and JavaScript.
Explore the spiral matrix problem and master an implementation that traverses any m by n matrix in spiral order, using top, bottom, left, right boundaries and a direction variable.
Learn to solve trapping rain water by using left and right maxima for each bar, then sum the water as the min of those maxima minus the bar height.
Master the median from a data stream using two heaps, a max-heap for lower values and a min-heap for upper values, balancing as numbers arrive.
Learn to merge overlapping intervals using a JavaScript solution. sort intervals by start and end, then merge with a stack-like output to obtain non-overlapping intervals.
Sort intervals by start then end, then merge overlapping intervals into non overlapping ones by comparing with the last interval in the answer, implemented in C++.
Forget everything for a moment and imagine how it would feel if the questions you're asked in your Google interview are ones you've already solved before.
Or at least, you've tackled similar questions, so you know exactly which algorithm to use and how to proceed to find an optimized solution.
Imagine the confidence you'd feel when explaining your solution.
Exciting, isn't it?
So, let's stop wasting time on irrelevant questions.
It's time to shift our focus to problem-solving, which truly matters.
That's why I've curated a list of top questions commonly asked in Google interviews and you can expect them in your interview rounds.
The journey may seem complicated but I'm here to support and guide you, just like I've guided countless students over the years.
In this course, you'll get:
Top Google interview problems: I've meticulously curated a collection of the most frequently asked coding problems in Google interviews to ensure you're well-equipped for any challenge.
Step-by-step video solutions: Follow me as I lead you through each problem, providing insight into the whole problem-solving process.
Multiple programming languages: To master these problems easily, choose your preferred language from Java, C++, Python, or JavaScript.
Downloadable code files: Understand the code, analyze it at your own pace, and enhance your comprehension with downloadable code files for every problem.
Why choose this course?
Just like you, I've been through the process of preparing for big companies, so I understand exactly what it's like.
That's why I prioritize conceptual clarity. I want you to feel confident and ready to tackle any coding challenge that comes your way during your Google interview prep.
Here’s what all you get:
Expert guidance: Learn from an experienced software engineer with a stellar track record in acing Google coding interviews.
Comprehensive coverage: Receive a well-rounded preparation with extensive coverage of a wide spectrum of data structure problems.
Access a curated selection of LeetCode questions: These questions are designed to sharpen your data structure and algorithm problem-solving abilities, perfect for Microsoft coding interviews.
Language Flexibility: Video solutions can be accessed in four different programming languages for comfortable understanding and implementation.
Lifetime access: Enroll once and enjoy lifetime access to all course materials and updates, ensuring preparedness for future interviews.
Don't let this opportunity slip away.
Enroll now and take the first step toward securing your dream job at Google!
Who this course is for:
This course is ideal for software developers and students who want to practice coding interviews at Google.