Core & Advanced Python Programming
The Core & Advanced Python Programming course from College of Computer Education (COCE), Jamshedpur, certified by the MRN Welfare Society, Government of West Bengal, was a comprehensive 3-month program designed to develop both foundational and advanced Python programming skills.
Completed on July 30, 2019, this course helped me transition from procedural programming in C to high-level problem-solving using Python, a language that would later become integral to my work in data analytics, automation, and cybersecurity.
The training emphasized practical coding, algorithmic thinking, and software design using Python’s vast ecosystem of libraries and tools.
Category
Programming
Issued By
COCE, Jamshedpur
Training Duration
3 Months
Training Dates
April 30, 2019 – July 30, 2019
Training Location
On-Site, Jamshedpur
Remarks Obtained
Good
Course Curriculum
The course was divided into two progressive phases – Core Python and Advanced Python, providing a complete journey from syntax fundamentals to advanced application development.
Core Python
Introduction to Python, IDE setup, and syntax fundamentals.
Variables, data types, expressions, and operators.
Conditional statements and iterative loops.
Functions, recursion, and modular programming.
Data structures – lists, tuples, dictionaries, and sets.
String handling and built-in functions.
File handling – reading, writing, and working with CSV/text files.
Advanced Python
Object-Oriented Programming (OOP) – classes, objects, inheritance, and polymorphism.
Exception handling and error management.
Working with modules, packages, and Python’s standard library.
Introduction to regular expressions and pattern matching.
Advanced topics – decorators, generators, and lambda functions.
Basics of GUI development using Tkinter.
Database connectivity using MySQL and Python integration.
Introduction to libraries such as NumPy and Pandas for data manipulation.
Assignments
The course involved multiple lab-based assignments and mini-projects to reinforce programming logic and application.
Notable projects included:
File Analyzer Tool: Created a Python script to read, summarize, and manipulate text files dynamically.
Student Management System: Built a console-based CRUD application integrating Python with a MySQL database.
Mini Data Analytics Project: Explored simple dataset manipulation and visualization using Pandas.
Key Learning Outcomes
- Gained proficiency in Python programming from basic to advanced concepts.
- Strengthened understanding of OOP principles, modular programming, and error handling.
- Developed skills to integrate Python with databases and use libraries for data analytics.
- Built confidence in writing reusable, maintainable, and efficient Python code.
- Laid the groundwork for future learning in machine learning, automation, and data science.
Conclusion
The Core & Advanced Python Programming course was a major milestone in my programming journey, enabling me to confidently approach real-world coding challenges.
It solidified Python as my go-to language for data analysis, automation scripts, and security assessments, forming the foundation for advanced certifications and professional projects that followed.