course-img

Python Programming: Beginner To Expert

AED1800
Take This Course

Python Programming: Beginner To Expert teaches you everything on the topic thoroughly from scratch so you can achieve a professional certificate for free to showcase your achievement in professional life. This Python Programming: Beginner To Expert  is a comprehensive, instructor-guided course, designed to provide a detailed understanding of the nature of the related sector and your key roles within it.

To become successful in your profession, you must have a specific set of skills to succeed in today’s competitive world. In this in-depth training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge & skills.

The training materials of this course are available online for you to learn at your own pace and fast-track your career with ease.

  • Accredited by CPD
  • Instant e-certificate and hard copy dispatch by next working day
  • Fully online, interactive course with Professional voice-over
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Sneak Peek

Who should take the course

Anyone with a knack for learning new skills can take this Python Programming: Beginner To Expert. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Accreditation

All of our courses, including this Python Programming: Beginner To Expert, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.

Course Curriculum

The detailed curriculum outline of our Python Programming: Beginner To Expert is as follows:

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

We guarantee that all our online courses will meet or exceed your expectations. If you are not fully satisfied with a course - for any reason at all - simply request a full refund. We guarantee no hassles. That's our promise to you.

Go ahead and order with confidence!

money_back

Easy to Access
Let's Navigate Together

Course Curriculum

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