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Python

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Start Date:

05/04/2025

Duration:

32Month

Difficulty

Intermediate

Overview

This Python course is designed for individuals who want to learn programming and automation using one of the most versatile and widely-used programming languages. Whether you're a complete beginner or have some coding experience, this course will guide you through everything from basic syntax to advanced concepts like object-oriented programming, data manipulation, and web development. By the end of this course, you will be equipped with the skills to write Python scripts, automate tasks, analyze data, and build applications.

You’ll Learn

Module 1: Introduction to Python and Setting Up Your Environment

Module 2: Basic Syntax and Data Types

Module 3: Control Flow and Loops

Module 4: Functions and Modules

Module 5: Object-Oriented Programming (OOP)

Module 6: Working with Libraries and Data Manipulation

Module 7: Building Projects and Next Steps

Course Structure

Module 1: Introduction to Python and Setting Up Your Environment

Introduction to Python: What Python is, why it is popular, and where it’s used (data science, web development, automation, etc.).
Installing Python: How to install Python and set up an IDE (Integrated Development Environment) like PyCharm or VSCode.
Running Python Code: Introduction to Python’s interactive shell and running Python scripts from the command line.
Writing Your First Python Script: A simple “Hello, World!” program to get started.

Module 2: Basic Syntax and Data Types

Basic Syntax: Understanding indentation, comments, and Python syntax rules.
Variables and Data Types: Introduction to integers, floats, strings, booleans, and type conversion.
Data Structures:
- Lists: Creating, accessing, and manipulating lists.
- Tuples: Introduction to immutable data structures.
- Dictionaries: Using key-value pairs for efficient data storage.
- Sets: Unique collections of unordered elements.
Basic Operations: Arithmetic and string operations, concatenation, and formatting.

Module 3: Control Flow and Loops

Conditional Statements: Using if, elif, and else to make decisions based on conditions.
Logical Operators: Combining conditions with and, or, and not.
Loops:
- For Loops: Iterating over sequences like lists, tuples, and strings.
- While Loops: Creating loops that continue as long as a condition is met.
Break and Continue Statements: Controlling loop execution flow.

Module 4: Functions and Modules

Functions: Defining and calling functions to organize code into reusable blocks.
Parameters and Return Values: Passing data to and from functions.
Lambda Functions: Using anonymous functions for simple tasks.
Modules and Libraries: Understanding how to import built-in modules like math, random, and datetime.
Creating Your Own Modules: Organizing code into separate files for better structure and reusability.

Module 5: Object-Oriented Programming (OOP)

Classes and Objects: Introduction to the concept of classes and creating objects.
Attributes and Methods: Working with variables and functions inside classes.
Inheritance: Creating new classes that inherit properties and methods from other classes.
Polymorphism: The ability to use a method in multiple ways, depending on the object.
Encapsulation: Hiding data and only exposing necessary functionality.
Abstraction: Using abstract methods and classes for defining common interfaces.

Module 6: Working with Libraries and Data Manipulation

Introduction to Python Libraries: Exploring Python’s rich ecosystem of libraries.
- NumPy: Basics of numerical computing and working with arrays.
- Pandas: Data manipulation and analysis with dataframes and series.
- Matplotlib and Seaborn: Creating visualizations like graphs and charts.
File Handling: Reading from and writing to files (txt, CSV, JSON, etc.).
Regular Expressions: Pattern matching and text manipulation with re module.

Module 7: Building Projects and Next Steps

Building Simple Projects: Apply your knowledge by building small Python projects like:
- A calculator
- A to-do list app
- Web scraper using BeautifulSoup or requests
Introduction to Web Development: Using Flask or Django to create simple web applications.
Data Science with Python: Introduction to data science tools and libraries for data analysis and visualization.
Next Steps: Where to go from here, such as exploring advanced topics like machine learning, automation, or full-stack web development.

Final Assessment

Quiz / Multiple Choice Questions
Practical Scenarios & Case Studies
Certificate of Completion

Instructor

Kathleen Grant (Demo)

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course. By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.