5 Useful Self-Studying Tips for Data Structures and Algorithms

19 Feb 2018 5487
Data Structures and Algorithms

Being a student of computer science, you might be knowing that data structure is the favorite and frequently asked topic in an interview. Your college seniors or faculty might have discussed some of the key fundamentals that are commonly used in this field. As they are the building blocks of this subject, one cannot just simply jump halfway in between. To learn data structures quickly, people may advise you several vague suggestions, and there is no guarantee whether they work or not. But, our data structure assignment experts have worked day and night to prepare a list of some easy ways to master this subject. If you are interested in knowing what they are, then read this blog. 

1.) Learn any programming language: Before you start your training, it is suggested that you must get acquainted with any basic programming language such as C and C++. The idea is to learn the usage of various commands and pointers. These languages can benefit you in many ways as they are not limited to only data structures but used widely in language compilers, operating systems, network drivers, language interpreters, etc.

2.) Skip theory and practice more: Even if you’re good at theory portion, that doesn’t guarantee a strong command of the data structure. You might know each and every concept related to this subject, but you cannot write a code without practicing. Every professional working in this field suggests that students should practice coding as much as they can, without which they won’t be able to combine or even run a simple loop.

3.) Start with simple data structure: If you want to strengthen your basics, then rather jumping directly on some tough and challenging problems, you should start with some simple and easy-to-write codes. These can be related to:-

  • Arrays
  • Linked Lists
  • Strings
  • Stacks
  • Queues

Try to understand their basic operations such as delete, insert, search, traversal, and their complexities.

4.) Start doing online problems: There are a lot of excellent practice problems, tutorials, and courses that are available online. Moreover, there are certain websites where you can practice some data structure questions that are frequently asked in job interviews. There are many benefits of taking online tutorials as they first teach you the basics of algorithms and data structures, then take a quiz from you to help you evaluate your learnings.

5.) Learn non-linear data structure: This is the most crucial topic for competitive programming. Non-linear data structures organize data in a very complicated form. If you want to represent any hierarchical or network data, then nothing can be a better option than this representation. In conventional practice, programmers put the hierarchical data in tree data structures and the network data will be rendered using the Graph Data Structures.

If you think that data structure is of no use, then you are highly mistaken. They say bad programmer worries about codes, but, a good one works on data structure and their relationships. Hope you liked reading this blog. 

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