Data Structures

Mastering Data Structures & Algorithm



Who this course is for?

  • Professionals looking to acquire programming skills.
  • Future software developers, system programmers, and embedded systems engineers aspiring to deepen their expertise in data structures for effective software and system design.
  • University students and graduates in computer science and related fields
  •  Individuals aiming to pivot into software development, recognizing the critical role of data structures in software design and optimization.
 

What you'll learn?

Learning Journey

The Course Includes

Course Highlight

Real-World Applications

Apply data structures to solve practical problems.

All-Encompassing Insight

Understand core concepts of various data structures.

Experienced Instructors

Learn from professionals with extensive industry knowledge.

Interactive Learning

Engage in hands-on exercises and coding challenges.

Course Content

Introduction

All about Stack

Step-by-Step developing a paranthesis checking program using Stack

Polish notation and Reverse Polish Notation

All about Queue

Efficiency of Algorithm

Binary Search

Linked List

Singly Linked List

Doubly Linked List

Circular Linked List

Recursion

Additional Learning - Binary Tree and Binary Search Tree

Heap

Description

Our Data Structures Course is designed to provide a strong foundation in managing and optimizing data across various programming languages and environments. You’ll gain essential knowledge and practical experience in implementing key data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Emphasis is placed on memory management, variable manipulation, and effective use of loops and functions to enhance algorithmic efficiency.

Whether you’re new to programming or looking to deepen your expertise, this course equips you with essential tools to excel in software development. By mastering these foundational concepts, you’ll be prepared to tackle complex challenges and innovate confidently in today’s technology-driven world.

Projects

This project analyzes patient data to improve healthcare outcomes and hospital operations by identifying patterns and trends through statistical methods. Predictive modeling and visualizations are used to forecast patient outcomes.

This project analyzes employee data to identify factors influencing retention and turnover. Insights from job satisfaction, work environment, and compensation help predict departures and develop strategies.

This project analyzes customer loan data to enhance decision-making and risk management by identifying patterns and predicting default risks. Insights from demographics, loan amounts, and credit scores improve approval strategies.

This project analyzes data from an online store to identify sales trends and customer behaviors. Insights help optimize inventory, improve marketing strategies, and enhance customer satisfaction.

Requirements

  • Access to a computer running Microsoft Windows, Linux, or macOS with at least 4GB of RAM.
  • Willingness to practice coding regularly and engage with complex concepts.
  • Dedication to investing time in understanding the language, practicing coding, and completing exercises.