Data Structures and Algorithms For Beginners and Professionals

Data Structures and Algorithms For Beginners and Professionals

Data Structures and Algorithms Tutorials

In this Data Structures and Algorithms tutorials series, we are going to cover all the basic and advanced concepts of Data Structures and Algorithms with real-time examples. Each and every concept will explain with simple as well as real-time examples. The Data Structures and Algorithms is considered as the base to become a successful programmer.  

Data Structures and Algorithms?

In computer science, a data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.

An algorithm is a set of one – by – one instructions to solve a particular problem.

Why to Learn Data Structures and Algorithms?

If you want to become a successful software developer or software architect, then it is mandatory for you to very good knowledge of Data Structure and Algorithms. The reason for this is, Data Structure and Algorithms is considered as the base to develop a good software. 

This Data Structures and Algorithms Tutorials For whom?

This Data Structure and Algorithms tutorial is designed for students, beginners as well as professional software developers with a need to make you understand the in depth concept Data Structure and Algorithms starting from scratch. These tutorials provide a hands-on approach to the subject with step-by-step program examples that will assist you to learn and put the acquired knowledge into practice.

What you will learn from this Data Structures and Algorithms Tutorials?

As part of this course, you are going to learn the followings in detail.

Introduction to Data Structure and Algorithm
    1. Introduction to Data Structure and Algorithm
    2. Analysis of Algorithm
    3. Asymptotic Notation
    4. Properties of Asymptotic Notations
    5. Master Theorem

Recursion and Backtracking
Linked Lists
Stacks
Queues
Trees
Priority Queue and Heaps
Disjoint Sets ADT
Graph Algorithms
Sorting
Searching
Selection Algorithms
Symbol Tables
Hashing
String Algorithm
Algorithm Design Techniques
Greedy Algorithms
Divide and Conquer Algorithms
Dynamic Programming
Complexity Classes
Miscellaneous Concepts

Prerequisites:

There is no prerequisite required to learn Data Structure and Algorithms as we are going to start from the very basics. But, it is good for you to have a basic understanding of any programming langues such as C, C++, Java, C#, etc. I hope you will enjoy this Data Structure and Algorithms course.

Note: If we miss any concept, then please let us know by putting a comment in comment box. We promised as soon as possible we will make an articles on the same and publish here.

About the Author:

B Sandeep Gupta having over 5+ years of experience in the Software Industry and currently associated with TCS as a IT Analyst in Banking Domain. Worked in Technical areas in C/C++, Python , Sql. LinkedIn Profile.

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