Code Smells made-easy
What you'll learn
- Identify different types of code smells in software development.
- Understand the impact of code smells on software maintainability.
- Apply refactoring techniques to improve code structure.
- Recognize signs of duplicate code and eliminate redundancy.
Requirements
- Basic Programming Knowledge – Familiarity with at least one programming language (e.g., Python, Java, C++).
- Object-Oriented Programming (OOP) Concepts – Understanding of classes, inheritance, polymorphism, and encapsulation.
- Fundamentals of Software Development – Experience with writing, testing, and debugging code.
Description
Code Smells Made-Easy: Write Cleaner, Maintainable Code
Bad code can slow down development, introduce bugs, and make maintenance a nightmare. But how do you identify these problems before they spiral out of control? Welcome to Code Smells Made-Easy, where you’ll learn to detect and eliminate bad coding practices, ensuring your software remains scalable, efficient, and maintainable.
In this course, you'll dive deep into common code smells—subtle but harmful patterns that indicate deeper design issues. You’ll explore how to spot, analyze, and refactor smelly code using real-world examples and hands-on exercises.
What You’ll Learn
Understand what code smells are and why they matter
Identify common code smells like Long Methods, Large Classes, and Duplicated Code
Learn practical refactoring techniques to improve code quality
Recognize the impact of bad code on maintainability and performance
Develop better coding habits to prevent code smells in the first place
Who Is This Course For?
Developers (Beginner to Intermediate) who want to write cleaner code
Software Engineers who maintain legacy codebases
Code Reviewers & Team Leads who ensure best practices
Anyone interested in refactoring and improving software design
Why Take This Course?
Hands-on Examples – See real-world code smells and how to fix them
Step-by-Step Refactoring – Learn best practices for improving bad code
Save Time & Effort – Write code that is easier to read, debug, and maintain
Boost Your Software Engineering Skills – Improve your design thinking and coding standards
By the end of this course, you’ll be able to write cleaner, more maintainable code that reduces technical debt and improves software quality. Join now and level up your coding skills today!
Who this course is for:
- Software Developers – Who want to improve code quality and maintainability.
- Junior & Mid-Level Programmers – Looking to refine their coding skills and learn best practices.
- Software Engineers – Interested in applying refactoring techniques for scalable software.
- Code Reviewers & QA Engineers – Who need to identify and resolve code smells efficiently.
- Computer Science Students – Preparing for industry-level software development.
- Technical Leads & Architects – Aiming to enforce clean code practices within teams.
- Freelance Developers – Who want to write better, more maintainable code for clients.
Instructor
- 4.8 Instructor Rating
- 24 Reviews
- 919 Students
- 3 Courses
Dr. Muhammad Farhan is working as an Assistant Professor in the Department of Computer Science. He completed his Ph.D. in 2017 in the field of Computer Science. He obtained MSCS in 2010 He started his research career by publishing a conference paper in San Luis Potosí, Mexico, IEEE CPS. He has the honor of winning a travel grant provided by ACM and Microsoft for the presentation of a student paper in the ACM/SIGAPP Symposium (Human-Computer Interaction track) held by the University of Salamanca, Spain. He has published a good number of SCI-indexed impact factor journal papers, which are published by the Journal of Real-Time Image Processing by Springer, Multimedia Tools and Applications by Springer, International Journal of Distributed Sensor Networks by SAGE Journals, EURASIA Journal of Mathematics, Science and Technology Education by MODESTUM, Life Science Journal by Marshland Press and in various renowned journals of IEEE, Springer, Elsevier and Hindawi. His interests include Data Science, machine and deep learning, and the Internet of Things.