Advanced-Data Structures

Now, we will discuss some advanced topics which only a few companies ask about in their hiring process. If you have prepared and followed the prior strategy well, then only proceed to the advanced topics. 

1. Tries

It is a type of tree and its applications are many in real life. Programming Trie code is quite complex as compared to other data structures but there are only a few types of questions where trie is used. You may solve 10-15 questions to comprehend the concept well.

Sample Questions:

• Find The Maximum Subarray Xor In A Given Array
• Word Boggle
• Phone Directory
• Count Of Strings Whose Prefix Matches With The Given String To A Given Length K
• Unique Rows In The Boolean Matrix
• Palindrome Pairs

To Practice, more questions on Tries, refer to Tries GFG Practice

2. Segment Tree

The next advanced topic is the Segment Tree. Like in Tries, you can solve 10-15 questions here as well.

Sample Questions:

• Length of Longest Increasing Subsequences (Lis) Using Segment Tree
• Maximize the Length of The Longest Subarray Consisting of the Same Elements By at Most K Decrements
• Generate Original Permutation From a Given Array of Inversions
• Maximum of All Subarrays Of Size K Using Segment Tree
• Build a Segment Tree For N-Ary Rooted Tree
• Length of Longest Subarray With Same Elements in Atmost K Increments
• Count the Number of Increasing Sub-Sequences: O(Nlogn)

To Practice, more questions on Segment Tree, refer to Segment Tree.

3. Fenwick Tree

Fenwick Tree is also one of the most important concepts of DSA which you must definitely read and learn. You should solve 4-5 questions to get some idea about its usage.

Sample Questions:

• Count Inversions in an Array | Set 3 (Using BIT) 
• Two Dimensional Binary Indexed Tree or Fenwick Tree 
• Counting Triangles in a Rectangular Space using BIT

These three were advanced topics; very few companies will ask you, but if you want your preparation in advanced concepts, consider doing them. Please refer to the below-mentioned table to get an idea of how much coding is required for each topic of Data Structures and Algorithms.

Now, a question may arise in your mind, how many easy, medium, and hard questions you should solve? We highly recommend you build your thought process by solving the easy questions first. The most important thing is to think about logic. Building logic is very important while solving a problem, be it easy, medium, or hard-level. 

The amount of coding required for placements will depend on the specific job you are applying for. In general, technical roles such as software engineering, data science, or web development will require a significant amount of coding knowledge and experience.

Have you ever seen people on LinkedIn getting placed at big tech companies? Well, If you are here, we will make sure you also post the same. ???

Before going directly to how much coding, We should understand the fact that Why Coding?

Many times the student is confused, that Why we need to solve such problems that are of no use, Why do we need to learn DSA or Problem-solving? So the answer to this question is very simple. The organization to which you are going to apply is seeking a candidate who is logically strong and technically sound. They want a person who can implement the fundamentals of computer programming into physical entities and solve real-life problems.

It’s worth noting that some companies may have specific coding languages or frameworks that they use, so it’s a good idea to research the company and its technology stack before applying to ensure you have the necessary skills.

For the same cause, it becomes necessary for an individual to learn coding in order to get placed.

But Don’t worry, to get you placed in your dream company, we are here with a well-planned strategy and valuable resources. If you are a computer science student or want to work in the tech industry, you must be familiar with coding. However, the question here is exactly-