Data Structures

Mastering Data Structures & Algorithm



Who this course is for?

Ideal for Professionals and Aspiring Developers

This course is perfect for professionals looking to acquire programming skills, as well as future software developers, system programmers, and embedded systems engineers aiming to deepen their expertise in data structures. Mastering data structures is essential for effective software design and system programming.

Perfect for Students and Career Switchers in Software Development

This course is ideal for university students and graduates in computer science or related fields, as well as individuals looking to pivot into software development. Understand the critical role of data structures in software design and optimization to enhance your programming skills and career prospects.

What you'll learn?

  • Sharpen your analytical abilities through practical applications of data structures.
  • Learn to analyze the time and space complexity of algorithms applied to different data structures
  • Enhance your analytical skills in data structure usage and efficiency.
  • Explore a variety of widely used data structures and their algorithms.
  • Study different sorting algorithms in depth.
  • Gain practical insights into the application of data structures in solving real-world problems and optimizing performance.

Learning Journey

The Course Includes

  • Classroom Training
  • 100+ Exercises
  • Study Materials
  • Certification
  • 1 to 1 Mentorship
  • Life-Time Community Membership
  • Hands-On Project
  • Interactive Webinars
  • Career Support

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 provides a strong foundation in managing and optimizing data across various programming languages and environments. You’ll gain hands-on experience with key data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Emphasis is placed on memory management, variable manipulation, and the effective use of loops and functions to enhance algorithmic efficiency.

Whether you’re new to programming or aiming to deepen your expertise, this course equips you with the essential tools to excel in software development. By mastering these foundational concepts, you’ll be ready to tackle complex programming challenges and innovate 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.