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NextGen Learning
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1805 Students


Python Programming: Beginner To Expert

Course Features


Python Programming has become a cornerstone in the global and UK job markets, offering a plethora of opportunities across various sectors. As businesses and industries increasingly rely on data analysis, web development, and automation, the demand for skilled Python programmers continues to surge. This course is meticulously designed to equip learners with a comprehensive understanding of Python Programming from beginner to expert levels. Through a structured curriculum, participants will delve into the essentials of Python, explore its advanced functionalities, and gain insights into leveraging Python for real-world applications, positioning themselves as valuable assets in the job market.

This Python Programming course provides a solid foundation in understanding the core aspects of Python, from basic syntax and data types to advanced object-oriented programming (OOP) concepts. Learners will navigate through the intricacies of Python operators, control flow mechanisms, functions, and error handling to ensure robust code development. Additionally, the course covers essential libraries like NumPy and Pandas, crucial for data manipulation and analysis. By the end of this course, participants will be well-versed in Python scripting, understand the practical applications of Python in various domains, and be equipped to start a successful career in Python Programming.

Learning Outcomes
  • Gain a comprehensive understanding of Python Programming fundamentals and advanced concepts.
  • Master data manipulation and analysis using Python libraries such as NumPy and Pandas.
  • Develop proficiency in error handling, functions, and advanced Python features like decorators and generators.
  • Understand the principles of object-oriented programming (OOP) and how to apply them in Python.
  • Acquire the skills to transition from theoretical knowledge to applying Python in real-world scenarios.
  • Prepare for a successful career in Python Programming by understanding the job market, resume building, and freelancing opportunities.


This Python Programming course starts with an introduction to Python, covering everything from the basics to advanced topics. Learners will first get familiar with the Python environment, including installation and the use of tools like Anaconda and Jupyter Notebooks. The course then progresses to fundamental concepts such as variables, data types, and control flow, before diving into Python’s powerful operators and data structures. By exploring modules on advanced data types, control flow, and Python functions, participants will build a solid coding foundation.

The curriculum further delves into error handling and user input, ensuring that students can write robust and user-friendly programs. Advanced modules introduce learners to Python’s scripting capabilities, the use of libraries, and the transition from Jupyter Notebooks to more sophisticated development environments like VSCode. With a focus on practical applications, the course also covers data analysis with NumPy and Pandas, introduces the basics of object-oriented programming, and ends with insights into starting a career in Python Programming, including freelancing and personal branding strategies.

Why Choose Us?​​

Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?​


The Python Programming: Beginner To Expert course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Python Programming: Beginner To Expert, without any fuss.

Career Path​

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Course Curriculum

Module 01: Introduction to Python Programming from A-Z
Intro To Python Section Overview 00:05:00
What is Python Programming 00:09:00
Who is This Course For 00:05:00
Python Programming Marketplace 00:00:00
Python Job Opportunities 00:05:00
How To Land a Python Job Without a Degree 00:08:00
Python Programmer Job Roles 00:09:00
Python from A-Z Course Structure 00:04:00
Module 02: Getting Familiar with Python
Getting Familiar with Python Section Overview 00:06:00
Installing Python on Windows 00:10:00
Anaconda and Jupyter Notebooks Part 1 00:08:00
Anaconda and Jupyter Notebooks Part 2 00:16:00
Comments 00:05:00
Python Syntax 00:02:00
Line Structure 00:03:00
Line Structure Exercise 00:07:00
Joining Lines 00:00:00
Multiple Statements on a Single Line 00:05:00
Indentation 00:08:00
Module 03: Basic Data Types
Basic Data Types Section Overview 00:08:00
String Overview 00:10:00
String Manipulation 00:07:00
String Indexing 00:04:00
String Slicing 00:08:00
Printing 00:10:00
Python Variables 00:08:00
Integers and Floats 00:08:00
Booleans 00:05:00
Mini Project 1 : Letter Counter 00:20:00
Module 04: Python Operators
Python Operators Section Overview 00:04:00
Comparison Operators 00:09:00
Arithmetic Operators 00:08:00
Assignment Operators 00:04:00
Logical Operators 00:13:00
Identity Operators 00:05:00
Membership Operators 00:02:00
Bitwise Operators 00:08:00
Module 05: Advanced Data Types
Python Advanced Data Types Section Overview 00:11:00
Sets 00:06:00
List Overview 00:05:00
List Slicing and Indexing 00:04:00
Tuples 00:02:00
Dictionaries 00:11:00
When to use each one? 00:05:00
Compound Data Types 00:03:00
Module 06: Control Flow Part 1
Control Flow Part 1 Section Overview 00:15:00
Intro to Control Flow 00:01:00
Basic Conditional Statements 00:14:00
More Conditional Statements 00:00:00
For Loops 00:10:00
While Loops 00:12:00
Module 07: Control Flow Part 2
Control Flow Part 2 Section Overview 00:02:00
Break Statements 00:08:00
Continue Statements 00:05:00
Zip Function 00:07:00
Enumerate Function 00:04:00
List Comprehension 00:04:00
Module 08: Python Functions
Python Functions Section Overview 00:03:00
Intro to Functions 00:02:00
Python help Function 00:03:00
Defining Functions 00:09:00
Variable Scope 00:08:00
Doc Strings 00:04:00
Module 09: User Input and Error Handling
User Input and Error Handling Section Overview 00:02:00
Introduction to error handling 00:03:00
User Input 00:04:00
Syntax Errors 00:04:00
Exceptions 00:11:00
Handling Exceptions Part 1 00:08:00
Handling Exceptions Part 2 00:08:00
Module 10: Python Advanced Functions
Python Advanced Functions Section Overview 00:05:00
Lambda Functions 00:05:00
Functions args and kwargs 00:10:00
Iterators 00:08:00
Generators and Yield 00:12:00
Map Function 00:14:00
Filter Function 00:00:00
Module 11: Python Scripting and Libraries
Python Scripting and Libraries Section Overview 00:04:00
What is a script 00:01:00
What is an IDE 00:17:00
What is a text editor? 00:12:00
From Jupyter Notebook to VScode Part 1 00:15:00
From Jupyter Notebook to VScode Part 2 00:05:00
Importing Scripts 00:03:00
Standard Libraries 00:04:00
Third Party Libraries 00:06:00
Module 12: NumPy
NumPy Section Overview 00:04:00
Intro to NumPy 00:04:00
Why use NumPy? 00:04:00
NumPy Arrays 00:10:00
Reshaping, Accessing, and Modifying 00:07:00
Slicing and Copying 00:06:00
Inserting, Appending, and Deleting 00:10:00
Array Logical Indexing 00:04:00
Broadcasting 00:08:00
Module 13: Pandas
Intro to Pandas 00:17:00
Pandas Series 00:17:00
Pandas Series Manipulation 00:17:00
Pandas DataFrame 00:17:00
Pandas DataFrame Manipulation 00:13:00
Dealing with Missing Values 00:10:00
Module 14: Introduction to OOP
Functional vs OOP 00:06:00
OOP Key Definitions 00:04:00
Create your First Class 00:12:00
How to Create and Use Objects 00:06:00
How to Modify Attributes 00:12:00
Module 15: Advanced OOP
Python Decorators 00:27:00
Property Decorator 00:09:00
Class Method Decorator 00:07:00
Static Methods 00:10:00
Inheritance from A to Z 00:21:00
Module 16: Starting a Career in Python
Python Career Section Overview 00:06:00
Getting Started with Freelancing 00:09:00
Building A Brand 00:12:00
Personal Branding 00:13:00
Importance of Having Website/Blog 00:04:00
Do’s and Don’ts of Networking 00:06:00
Top Freelance Websites 00:08:00
Creating A Python Developer Resume 00:06:00
Assignment – Python Programming: Beginner To Expert 00:00:00
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