Career Program

Certificate Included

Python Programming Course in Madurai

Become confident in Python programming by learning syntax, object-oriented programming, file handling, MySQL, APIs, automation, data analysis fundamentals and practical application development through real-world projects.

Tools and technologies you will master
Duration 3 Months – Approximately 120 Hours
Program Classroom Training, Live Online Training and Hybrid Learning
Batches Weekday, Weekend, Morning, Evening and Fast-Track Batches

About This Course

Become confident in Python programming by learning syntax, object-oriented programming, file handling, MySQL, APIs, automation, data analysis fundamentals and practical application development through real-world projects.

What You Will Learn

Python Visual Studio Code PyCharm Jupyter Notebook MySQL phpMyAdmin SQLite Flask

Course Curriculum

Module 1: Introduction to Python and Programming Fundamentals

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 2: Python Installation, IDE Setup and First Program

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 3: Variables, Data Types and Type Conversion

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 4: Operators, Expressions and User Input

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 5: Conditional Statements and Decision-Making

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 6: For Loops, While Loops and Loop Control

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 7: Strings and String Manipulation

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 8: Lists, Tuples, Sets and Dictionaries

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 9: Functions, Arguments and Return Values

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 10: Lambda Functions and Python Built-in Functions

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 11: Modules, Packages and Virtual Environments

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 12: Object-Oriented Programming with Python

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 13: Classes, Objects, Inheritance and Polymorphism

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 14: Exception Handling and Debugging

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 15: File Handling with Text, CSV and JSON Files

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 16: Regular Expressions and Data Validation

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 17: Working with Dates, Times and Python Libraries

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 18: MySQL Database Connectivity with Python

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 19: CRUD Operations Using Python and MySQL

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 20: REST API Fundamentals and API Integration

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 21: Web Scraping Fundamentals with Beautiful Soup

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 22: Task Automation Using Python

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 23: Introduction to NumPy and Pandas

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 24: Data Analysis and Visualization Fundamentals

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 25: Introduction to Flask Web Development

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 26: Git, GitHub and Version-Control Fundamentals

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 27: Résumé, Portfolio and Interview Preparation

Module lessons, practice tasks, and review sessions are covered during this stage.

Module 28: Final Real-World Python Project

Module lessons, practice tasks, and review sessions are covered during this stage.

Projects You Will Build

Number Guessing Game Number Guessing Game Practical portfolio project
Student Grade Calculator Student Grade Calculator Practical portfolio project
Expense Tracker Expense Tracker Practical portfolio project
Contact Management System Contact Management System Practical portfolio project

</>Technologies You Will Learn

Python Visual Studio Code PyCharm Jupyter Notebook MySQL
01

Eligibility

Open to school and college students, graduates, job seekers, working professionals, freelancers and entrepreneurs. Applicants from any academic background may join. Basic computer knowledge is sufficient, and no previous programming experience is required.

02

Internship Availability

Eligible students can participate in an optional project-based Python development internship after completing the required course modules and assessments. Internship availability is subject to project requirements, student performance and available positions.

03

Certificate Information

Students who complete the required modules, assignments, assessments and final Python project will receive a Learns-Way Academy Certificate of Completion. Each certificate will contain a unique verification number that can be checked through the website.

04

Placement Assistance

Placement assistance includes résumé preparation, LinkedIn profile guidance, GitHub portfolio development, Python coding practice, aptitude preparation, mock interviews and suitable hiring-partner introductions. Employment is not guaranteed and depends on the student’s skills, performance and employer requirements.