Data Structures and Algorithms with JavaScript Online Course
Data Structures and Algorithms with JavaScript Online Course
About the Data Structures and Algorithms with JavaScript Online Course
The Data Structures and Algorithms with JavaScript online course is designed to equip you with essential knowledge of data structures and algorithms, key components of effective programming. You'll learn how to apply these concepts in JavaScript to build high-performance, error-free applications. Whether you're looking to enhance application speed or solve complex problems, this course will provide practical, real-world solutions.
Course Objectives
Starting with the fundamentals, you’ll explore how to build and optimize stacks, while understanding performance and memory implications. You'll also learn how to choose the right queue type for different applications. As you progress, you'll dive into sets, maps, trees, and graphs to simplify complex problems and enhance application design. You’ll implement various sorting algorithms, analyze space and time complexity, and discover best practices for micro-optimizations and memory management.
By the end of the course, you’ll have the skills and expertise to apply data structures and algorithms effectively in your projects, enabling you to create efficient, high-performing applications.
Key Benefits
- A comprehensive, step-by-step guide that offers an in-depth exploration of the analysis and design of core JavaScript data structures.
- Gain a deeper understanding of advanced topics, including space and time complexity, to enhance code optimization.
- Shift the focus towards solving business problems, reducing the emphasis on the technical challenges involved in implementation.
Target Audience
This course is ideal for JavaScript developers seeking practical examples of how to implement data structures and algorithms in web applications. While prior knowledge of data structures and algorithms will be beneficial, it is not mandatory.
Learning Objectives
- Develop custom Back buttons integrated into your application to enhance user navigation and experience.
- Create a basic JavaScript syntax parser and evaluator for an online IDE, enabling real-time code analysis and execution.
- Design a custom activity tracker that monitors user interactions within your application, providing valuable insights into user behavior.
- Implement Decision Trees to generate accurate recommendations for credit card approvals based on various factors and data inputs.
- Simplify and optimize complex problem-solving processes using graphs, helping to improve data organization and system efficiency.
- Boost your application's performance through micro-optimizations, focusing on enhancing speed and reducing resource consumption at a granular level.
Course Topics
The Data Structures and Algorithms with JavaScript online Course covers the following topics -
Module 1 - Building Stacks for Application State Management
○ Overview of building stacks for effective application state management
○ Prerequisites and key terminology
○ Understanding the API and its role
○ Addressing the question: "Do arrays serve the same purpose?"
○ Steps to create a stack
○ Use cases and practical applications
○ Summary and key takeaways
Module 2 - Creating Queues for Sequential Execution
○ Introduction to creating queues for in-order execution
○ Exploring different types of queues
○ Implementing APIs for queue management
○ Steps to create a queue
○ Use cases where queues are beneficial
○ Performance comparison of various queue types
○ Summary and key points
Module 3 - Optimizing Applications with Sets and Maps
○ Enhancing application performance using sets and maps
○ Overview of the origin and types of sets and maps
○ Comparison of sets versus weak sets
○ Identifying use cases for sets and maps
○ Performance analysis and comparison
○ Summary of key insights
Module 3 - Using Trees for Efficient Lookup and Modifications
○ Leveraging trees for faster data lookup and modification
○ Practical examples, including creating an Angular application
○ Building a typeahead lookup and credit card approval predictor
Module 5 - Simplifying Complex Applications with Graphs
○ Introduction to using graphs for simplifying complex applications
○ Exploring different types of graphs and their use cases
Module 6 - Exploring Various Algorithm Types
○ A comprehensive guide to different algorithm types
○ Developing a Node.js application
○ Exploring use cases for each algorithm
○ Summary and key takeaways
Module 7 - Sorting Algorithms and Their Applications
○ Understanding sorting algorithms and their importance
○ Overview of various sorting algorithm types
○ Practical use cases for different sorting algorithms
Module 8 - Big O Notation, Space, and Time Complexity
○ Introduction to Big O notation, space complexity, and time complexity
○ Key terminology and concepts
○ Examples illustrating time complexity
○ Understanding space complexity and auxiliary space
Module 9 - Micro-Optimizations and Efficient Memory Management
○ Best practices for micro-optimizations and memory management
○ Optimizing HTML, CSS, and JavaScript for better performance
○ Summary and next steps for continued learning
