Python Programming: Beginner To Expert Online Course

Key Features

• Accredited by CPD
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• Fully online, interactive course with audio voiceover
• Self-paced learning and laptop, tablet, smartphone-friendly
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Python Programming: Beginner to Expert is a comprehensive, step-by-step learning program designed to take you from absolute beginner to advanced-level Python developer. Through structured modules, practical exercises, and hands-on projects, you’ll master Python programming, data analysis, object-oriented programming, and automation while building real-world skills for career success. Whether your goal is web development, data science, machine learning, or scripting, this course gives you the A-to-Z foundation and advanced knowledge needed to excel.

Python is one of the most versatile and in-demand programming languages worldwide. Its simple syntax, powerful libraries, and flexibility make it perfect for beginners and professionals alike. In this course, you’ll explore basic Python concepts, data types, operators, control flow, functions, error handling, NumPy, Pandas, object-oriented programming (OOP), and advanced Python techniques. By the end, you’ll be capable of creating Python applications, automating workflows, analyzing data, and writing clean, efficient, and scalable code.

With an industry-relevant curriculum, expert-led instruction, and practical exercises, this course ensures you don’t just learn Python—you master it for real-world application.

Learning Outcomes:

1. Understand Python fundamentals and essential programming concepts for beginners.
2. Apply Python syntax to create efficient and clean-coded programs.
3. Work with data types, control flow, and functional programming effectively.
4. Use Python libraries for data analysis, automation, and application development.
5. Implement object-oriented programming principles in practical projects.
6. Develop problem-solving skills to build real-world Python-based solutions.

Course Link: Python Programming: Beginner To Expert Online Course

Course Curriculum:

Module 01: Introduction to Python Programming from A-Z

• History and evolution of Python programming
• Installing Python and setting up your development environment
• Understanding Python versions and compatibility
• Writing your first Python script
• Introduction to Python syntax, comments, and best practices

Module 02: Getting Familiar with Python

• Python shell and interactive mode
• Running Python scripts from the terminal
• Understanding indentation, variables, and naming conventions
• Python code structure and execution flow

Module 03: Basic Data Types

• Strings, integers, floats, and booleans
• Type conversion and type checking
• Basic operations with numbers and strings

Module 04: Python Operators

• Arithmetic, comparison, logical, and assignment operators
• Membership and identity operators
• Operator precedence and associativity

Module 05: Advanced Data Types

• Lists, tuples, sets, and dictionaries
• Indexing, slicing, and iteration
• Nested data structures and comprehension techniques

Module 06 & 07: Control Flow (Parts 1 & 2)

• Conditional statements: if, elif, else
• Loops: for and while
• Loop control: break, continue, pass
• Nested loops and complex control structures

Module 08: Python Functions

• Defining and calling functions
• Parameters, arguments, and return values
• Scope, recursion, and documentation strings

Module 09: User Input and Error Handling

• Capturing user input
• Exception handling with try, except, finally
• Custom exceptions and error messages

Module 10: Python Advanced Functions

• Lambda functions, map, filter, and reduce
• Decorators and generators
• Function annotations and advanced argument handling

Module 11: Python Scripting and Libraries

• Writing and running Python scripts
• Importing and using Python libraries
• Working with OS, sys, and datetime modules

Module 12: NumPy

• Creating and manipulating arrays
• Array operations and mathematical functions
• Indexing, slicing, and broadcasting

Module 13: Pandas

• DataFrames and Series
• Importing/exporting CSV, Excel, and JSON files
• Data cleaning, transformation, and aggregation

Module 14: Introduction to OOP

• Classes, objects, and methods
• Attributes and constructors
• Basic encapsulation and inheritance

Module 15: Advanced OOP

• Polymorphism and abstraction
• Method overriding and operator overloading
• Class methods, static methods, and property decorators

Module 16: Starting a Career in Python

• Building a Python portfolio
• Preparing for technical interviews
• Freelancing and remote work opportunities
• Continuing learning paths in AI, web development, and data science

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Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.