COURSES DETAILS

Introduction

Python Mastery: From Zero to Data Science

Python is one of the most powerful and popular programming languages in the world today. It is widely used in software development, data science, artificial intelligence, automation, and web development.

The Python Mastery: From Zero to Data Science course is designed for beginners who want to learn Python from scratch and build practical programming skills. This course provides step-by-step guidance, hands-on projects, and real-world datasets to help students become confident Python developers.

Whether you are a student, beginner programmer, or someone looking to start a career in technology, this course will help you develop the skills needed to succeed in the modern digital world.

What You Will Learn in This Course

PThis course covers all essential Python programming concepts and gradually introduces advanced topics used in real-world applications.

Students will learn:

• Python programming fundamentals
• Variables, data types, and operators
• Conditional statements and loops
• Functions and modules
• Object-Oriented Programming (OOP)
• File handling and data processing
• Working with real datasets
• Data analysis using Python
• Introduction to data science tools

Course Curriculum

Module 1: Python Fundamentals

Introduction to Python programming and installation setup.

Topics covered:

• Python installation
• Writing your first Python program
• Understanding variables and data types

Module2: Control Structures

Learn how to control program flow using conditions and loops.

Topics covered:

• If statements
• For loops
• While loops
• Logical operators

Module 3: Functions and Modules

Learn how to write reusable and organized code.

Topics covered:

• Creating functions
• Function parameters
• Python modules and libraries

Module 4: Object-Oriented Programming

Understand the core concepts of object-oriented programming in

Python.

Topics covered:

• Classes and objects
• Inheritance
• Encapsulation

Module 5: Data Handling and Analysis

Learn how Python is used for data analysis and data science.

Topics covered:

• Working with datasets
• Data manipulation
• Introduction to data analysis libraries