Duration

7 Classes 14hours

Categories

Python Programming

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Brouchure

4.5

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Overview

This course covers Python fundamentals, programming concepts, and practical applications, with hands-on experience in coding and problem-solving. It explores Python syntax, data structures, object-oriented programming, and libraries for tasks like web development, data analysis, and automation. The course concludes with a final project to build a Python-based application.

CAREER OPPORTUNITIES

Python Programming

Module Objective
Module 1: Introducti on to Python Programm ing
Introduce the basic concepts of Python programming and its environment.
Module 2: Control Flow and Loops
Learn how to control the flow of a program using conditional statements and loops.
Module 3: Data Structures
Master the built-in data structures in Python for storing and managing data.
Module 4: Object- Oriented Programm ing (OOP)
Learn the principles of object-oriented programming using Python.
Module 5: File Handling and Exception Handling
Learn how to read, write, and manipulate files, and handle errors in Python programs.
Module 6: Working with Libraries and External Modules
Explore popular Python libraries and modules to enhance functionality
Module 7: Data Analysis and Visualizat ion
Learn how to work with data and visualize insights using Python.
Module 8: Introducti on to Web Development with Python
Learn how to create web applications using Python frameworks.
Module 9: Introducti on to Data Science and Machine Learning
Learn the basics of data science and machine learning with Python.
Module 10: Advanced Topics
Explore advanced Python concepts and applications.
Module 11: Final Project
Apply all Python programming concepts by building a realworld project.