Requirements

• Basic Computer Skills: Familiarity with operating systems
• basic file handling (saving
• opening
• and organizing files)
• and simple text editing.
• Logical Thinking: Although programming experience isn’t necessary
• understanding logic and problem-solving will help learners grasp programming concepts more quickly.
• Basic Math Knowledge: Knowledge of basic arithmetic (addition
• subtraction
• multiplication
• division) is generally enough.

Description

Unlock the world of programming with Python – a versatile and powerful language that has quickly become one of the most popular in the industry. This course is designed for complete beginners, as well as those with some experience who want to solidify their understanding of Python’s fundamentals. Python is widely used in web development, data science, automation, and artificial intelligence, and a strong foundation in Python can open doors to countless career paths.

In this course, you’ll learn how to create your own programs, understand fundamental coding principles, and develop problem-solving skills that will serve you well in any programming language. With hands-on exercises, engaging examples, and easy-to-follow explanations, this course takes you step-by-step through Python’s core concepts.

What You'll Learn

Throughout this course, you’ll master the following core Python concepts:

1. Basic Syntax and Structure: Python is known for its clean and readable syntax. We’ll start by exploring how Python is organized, how to write and run Python scripts, and what makes Python different from other programming languages.

2. Data Types and Variables: You’ll learn about Python’s primary data types, such as integers, floats, and strings, and how to use variables to store and manage information. This section also introduces lists, tuples, and dictionaries – data structures that are fundamental in organizing data effectively.

3. Control Flow with Conditionals and Loops: Decision-making in code is crucial. In this module, you’ll discover how to use if, else, and elif statements to create conditional logic and use loops (for and while) to automate repetitive tasks.

4. Functions and Modular Programming: Functions allow you to organize and reuse code effectively. You’ll learn how to define functions, pass parameters, and understand the concept of scope, which helps keep your code clean and modular.

5. Handling Errors and Debugging: Writing error-free code is challenging, especially for beginners. You’ll learn techniques to spot, understand, and fix common errors using debugging strategies and Python’s built-in error-handling tools.

6. Input/Output Operations: Interaction with users is crucial in many applications. This module covers basic input and output functions, file handling, and how to save and retrieve data from external files.

7. Working with Libraries and Modules: Python’s standard library is a powerful tool that lets you add functionality without needing to write everything from scratch. You’ll learn how to import and use libraries, and discover Python packages that can enhance your programs.

Course Structure

This course is divided into multiple modules, each of which builds on the previous ones to create a well-rounded learning experience. With each concept, we include practice exercises that allow you to apply your new knowledge and reinforce your skills.

Who this course is for:

• Students and Recent Graduates
• Aspiring Data Scientists and Analysts
• Professionals Looking to Upskill