For Product-Based Companies

All the Concepts that are covered in Service Based Companies + Some more topics are mentioned below.

1. Bit Manipulation

Bit-Manipulation is one of the most important concepts of programming there are very less chances to encounter a direct question of bit manipulation but the concept is very helpful for fast calculation and can help to find optimized methods for many questions. You can solve about 10-15 questions for good control over the topic.

Sample Questions:

• Compute Xor From 1 To N (Direct Method)
• Count of Numbers (X) Smaller Than Or Equal to N Such That N+X = N^X
• How to Know If a Number is a Power of 2?
• Find the Xor of All Subsets of A Set
• Find the Number Of Leading, Trailing Zeroes And Number Of 1’s
• Convert Binary Code Directly Into an Integer in C++
• Check if a Number Has Bits in an Alternate Pattern

To Practice, more questions on Bit Manipulation, refer to Bit Manipulation GFG Practice

2. Heap and Priority Queue

The next topic is Heap and Priority Queue. Although heap seems to be a topic not much necessary but is recognized as very effective for problems where data needs to be in sorted. You have to solve around 20-25 questions. Don’t just directly use STL. First, understand how the heap is created. After that, you may use STL.

Sample Questions:

• K’th Largest Element in an Array
• K’th Smallest/Largest Element in Unsorted Array | Set 1
• Merge K-Sorted Arrays 
• Heap Sort
• Tournament Tree (Winner Tree) And Binary Heap
• Check if a Given Binary Tree Is Heap
• How To Check if a Given Array Represents a Binary Heap?
• Connect N Ropes With Minimum Cost

To Practice, more questions on Heap and Priority Queue, refer to Heap and Priority Queue GFG Practice

3. Trees

Trees are one of the most important data structures as can be directly related to real life. Because of this trees are considered one of the most important and frequently asked topics. There are multiple types of trees in programming but binary trees and binary search tree questions can be mostly observed. You must solve 30-40 questions trees. You should know the difference between a Tree and a Binary Search tree and how to implement it in the real world.

Sample Questions:

• The Sum of all Nodes in a Binary Tree
• The Sum of all the Parent Nodes Having Child Node X
• Print Left View of a Binary Tree
• Find The Sum of All Left Leaves in a Given Binary Tree
• Find The Sum of All Right Leaves in a Given Binary Tree
• Find The Sum of All Nodes of the Given Perfect Binary Tree
• Diagonal Sum of a Binary Tree
• Find If There is a Pair In Root To a Leaf Path With a Sum Equal to the Root’s Data

To Practice, more questions on Trees, refer to Tree GFG Practice

4. Graphs

Next, we are going to talk about the topics which are the heart of the placement- Graphs and DP. You must understand Graphs and the working of their algorithms BFS and DFS. To ace the interview rounds, you must solve at least 30-40 questions on graphs alone.

Sample Questions:

• Dijkstra’s Shortest Path Algorithm
• Dijkstra’s Algorithm For Adjacency List Representation
• Bellman–Ford Algorithm
• Floyd Warshall Algorithm
• Johnson’s Algorithm For All-Pairs Shortest Paths
• Shortest Path in Directed Acyclic Graph
• Shortest Path with Exactly K Edges in a Directed and Weighted Graph
• Dial’s Algorithm
• Printing Paths in Dijkstra’s Algorithm

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

5. Dynamic Programming

The next is DP(Dynamic Programming). Many people get scared of this topic, but with the strategic approach, you can easily understand it. As we have said above, Recursion is the heart of DP. So, if you know how to code recursively then understanding DP isn’t difficult. Otherwise, you will have to suffer a lot. You have to solve at least 30-40 questions of DP. This might look like a big number but DP is a vast concept and it requires a lot of practice.

Sample Questions: 

• 0-1 Knapsack Problem
• Lobb Number
• Eulerian Number
• Delannoy Number
• Entringer Number
• Rencontres Number
• Palindrome Partitioning
• Word Wrap Problem
• Mobile Numeric Keypad Problem

To Practice, more questions on Dynamic Programming, refer to Dynamic Programming GFG Practice

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-