Description
This course will help you in better understanding of the
basics of Data Structures
and
how algorithms
are implemented in high-level programming language. This course consists of
lectures on data structures and algorithms
which covers the computer science theory
+ implementation
of
data structures in python
language. This course will also help students to face
interviews
at the top technology companies. This course is like having personal tutors to teach you about data structures and algorithms.
There’s tons of concepts and content in this course. To begin the course:
We have a discussion of
why we need data structures
.
Then we move on to discuss Analysis of Algorithms ie
Time and Space complexity
, though the Asymptotic Notation ie Big O, Omega and Theta are taken up at the end of this course so that you do not get confused and concentrate on understanding the concepts of data structures.
We have a programming environment setup to make sure you have all the software you need in order to get the hands-on experience in implementing Data structures and algorithms.
Then we get to the essence of the course; algorithms and data structures. Each of the specific algorithms and data structures is divided into two sections. Theory lectures and implementation of those concepts in Python. We then move on to learn:
Recursion
Stacks, Queues, Deques
Linked List
Trees & Binary Trees
Binary Search Trees
Priority Queues and Heaps
Graphs & Graph Traversal Algorithms
Searching and Sorting algorithms
Again, each of these sections includes theory lectures covering data structures & their Abstract Data Types and/or algorithms. Plus the implementation of these topics in Python.
Requrirements
Requirements
Prior knowledge of Programming any high level language
Basic knowledge of Python Programming