Data structures and algorithms iisc

How should I study data structures and algorithms?
Abstract thinking: Data structures require abstract thinking, which can be difficult for some people.
It is essential to understand the underlying principles of data structures and how they work.
Multiple data structures: There are several data structures, and each has its own strengths and weaknesses..
How tough is data structures and algorithms?
In the field of data analytics, a solid understanding of data structures and algorithms is vital for efficient data processing and analysis..
Is data structures and algorithms important for data science?
Data structures and algorithms (DSA) goes through solutions to standard problems in detail and gives you an insight into how efficient it is to use each one of them.
It also teaches you the science of evaluating the efficiency of an algorithm.
This enables you to choose the best of various choices..

What are the basic data structures?

It will review elementary data structures such as Arrays, Stack, Queues, Maps, and related algorithms for manipulating the data structures

It will also discuss sorting and searching techniques, and their complexity

We will also briefly explore more advanced data structures such as graphs and graph algorithms, balanced trees, tries and heaps

The primary sources include the following six textbooks

A V Aho, J E Hopcroft, and J D Ullman

Data Structures and Algorithms

Addison-Wesley, Reading, Massachusetts, 1983

Gilles Brassard and Paul Bratley Fundamentals of Algorithmics Prentice-Hall, 1996

Indian Edition published by Prentice Hall of India, 1998

data structures and algorithms

It would be helpful if the student has taken an undergraduate level course on data structures/algorithms/programming during their bachelors degree

The course covers the below topics with mathematical rigor

The course reviews basic data structures like arrays, linked Lists, stacks and queues