If you are preparing for the placements whether it was on-campus or off-campus Data Structures And Algorithms is the most important subject to study. If you are excel at data structures and algorithms and one programming language then the chances of you are getting placed are very high in product based companies and other all companies as well.
From this, we can understand how important the data
structures and algorithms are to crack the jobs at top companies. So while
learning data structures and algorithms it is very important to follow a
strategy for effective learning. You should know the roadmap for data structures for effective and fast
learning. Here is the roadmap for data structures and algorithms, this will
help you to learn effectively and fast.
1. Core
Data Structures:
When you start learning Data Structures then you
should first start with core data structures. We can say that core data
structures are the basics of data structures. We know that whatever we may
want to learn we should first start with learning the basics. So while learning
ds you should start with core data structures. But to excel at core data
structures you need to practice more and more. Practice is the key to excel at
anything. So to excel at core data structures you have to practice more.
What are core data structures? :
·
It includes learning the basic working of data
structures like linked lists, arrays, trees, heap, etc.
·
You will understand the working of these data structures
by implementing them in your real codes with sample data.
2. Core
Patterns:
Once you have the basic knowledge of how data
structure works, you need to move on to core patterns, and here the real game of
data structure actually starts.
What are core patterns? :
·
Core patterns are actually the key algorithms for specific data structures. All the ds have a specific algorithm to follow.
·
Observe 5 to 10 different codes/problems of a single
ds and you will get a clear picture in your mind about the pattern of that it
follows.
For example all the functions of the linked list like
inserting, reversing, swapping.
3. Compound
Algorithms:
After getting a strong grip on all the individual ds
now you should actually practice the real-world problems which are used in
companies. This is the part from where interviewers ask questions.
What are compound Algorithms? :
· The Compound algorithm simply means the involvement of more
than one ds n a single problem!
·
It may look very complicated, but if you have a strong grip on individual ds then you will be able to do it after practicing few
questions on it.
While learning Data Structures, if you are confused
then follow the above strategy. This will really help you. If you are preparing
Data Structures without any proper roadmap or strategy, then you will
definitely waste your time, effort. If you prepare using a proper strategy, you
can save time, effort and you can learn more than normal
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