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Data Structures and Algorithms - Learning made fun with AR

                
                        
Want to land a job at your dream IT company? If yes, then Data Structure and Algorithms 
are a pathway to your dream product-based companies.

First, Tap Academy's Data Structures and Algorithms course makes learning fun with 
augmented reality training. Second, this course provides practical training on the concepts.

In addition, it offers instructor-led training and personal mentorship 
from experts. Furthermore, the course covers 
the solution to the problems asked by top tech companies.

    

  • Trusted by 10k+ students
    • 

  •  Designed by subject matter experts
    • 

  •  Consists of video lectures, quizzes, discussion forums, and coding problems
    • 

               
                  
The course profoundly covers the concept of Data Structures and Algorithms, 
which are the building blocks of many real-life applications.
2022 Updated Course                      DSA Certification Course                      Placement Support



               



Why Data Structures and Algorithms?

What is Data Structure?

Look around you! The whole world revolves around information and data. As a result,
data and information are integral to daily life.However, that data must be stored
somewhere where it can be easily accessed and processed.That’s where Data Structures
come into the picture! Data Structure is a systematic process of organizing and storing
the data in the main memory of the computer so that it can be managed properly and utilized
efficiently. One common example of data structure is a LinkedIn List.





What are the types of Data Structure? Why Data Structure?
There are two types of Data Structures.
  1. Linear Data Structures
    2. If the elements in the Data Structure are arranged in a sequential 
manner one after the other then it is called a Linear Data Structure.
A sequential arrangement makes it easy to access elements. Examples of 
Linear Data structures are Array, Linked List, Stack, and Queue.
  2. Non-linear Data Structures
    3. Unlike Linear Data Structure, if the elements are not arranged in 
a sequential manner then it is called a Non-Linear Data Structure.
Instead, they're connected in a hierarchical manner where one element 
connects to multiple elements. Examples of Non-Linear Data Structures 
are Graphs, Trees. 
                        
Data Structure is the key component of the programming world and 
helps in solving real-life complex problems.

Data Structures are widely used in AI/ML, operating systems, and other sectors.

Understanding Data Structures gives you a clear understanding of how a data-based 
problem can be solved efficiently. 

Moreover, if you want to land   an IT job in your dream company then Data Structures are a must.

Because Data Structure is part of the interview and hiring process.

Product-based companies check for the strength of Data Structures 
so that you can help them with their day-to-day problems.

If a candidate is unaware of Data Structures then he'll not be able 
to write efficient code.

Based on the project, it's crucial to choose the right data structure for your project.

Master Data Structures and Algorithms with Tap Academy!