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Python - The Ultimate Guide To Python Programming

Data science, machine learning, and artificial intelligence are all dominated by Python programming languages. This course will teach you how to become an expert Python programmer, which is exactly what you’ll need to get those high-paying programming jobs.

In this course, we’ll give you the base education you need to know not just how to write code in Python but also how to get paid with the skills you’ve learned.

The purpose of this practical, hands-on course is to provide you with not only the knowledge you need to know about Python Programming but also how the software development industry works, the roles in a team, and how to obtain a Python Programming job without a degree.

Our Python Programming course takes you from the basics to mastery with practical work and solid theoretical training. This course gives you not only the skills to create software programs, scrape websites, and automate but also the foundational knowledge of data science and visualisation in order to become a well-rounded Python programmer.

This course is filled with practical, hands-on examples that you can follow step by step so that you can build a solid foundation. We do understand that theory alone isn’t going to get the job done, so we packed it full of practical, hands-on examples.

Even if you already have some coding experience or want to learn about the advanced features of Python, this course is for you! 

Don’t wait. Get enrolled today!

After Completing The Course, You Will:

Course Design

You can take this Python Online Course at your own pace because it is designed to be flexible. There are multiple modules in the course, so that you can complete it according to your schedule. To make it easier for you to grasp the ideas, the topics are arranged in an orderly fashion. You will be assessed to ensure that you understand the material. You can access our courses on any smart device or through the web.


The Python Course features an online multiple-choice assessment test at the end of the course to assess learners’ ability and knowledge to understand the topics. This online multiple-choice test will result in an immediate grade, so you’ll know if you passed right away.

Certification & Transcript

After completing the course, you will be able to obtain* a Certificate of Completion from SkillArts.  This certificate will serve as proof that you have successfully completed the course. You will also be able to apply for an Academic Transcript that will outline the lessons covered in this Python Course. 

 If you obtain a certificate from us, you can include it in your portfolio of evidence and use it for interviews in an employment or academic environment. By scanning the QR code on the certificate and entering the certificate code on our website, your employer can verify the certificate.
*Prices apply

Example Certificate & Transcript

Career Opportunities

By providing you with all the necessary guidelines, knowledge, and an online certificate of completion, this Python Course will ease your way up the career ladder. You’ll learn how to succeed in your dream job, get that promotion, or start up the business you’ve always dreamed of.

Section 1: Introduction to Python Programming from A-Z

  1. Intro To Python Section Overview
  2. What is Python Programming?
  3. Who is This Course For?
  4. Python Programming Marketplace
  5. Python Job Opportunities
  6. How to Land a Python Job w/o a Degree
  7. Python Programmer Job Roles

Section 2: Getting Familiar with Python

  1. Getting Familiar with Python Overview
  2. Installing Python on Windows
  3. Anaconda and Jupyter Notebooks Part 1
  4. Anaconda and Jupyter Notebooks Part 2

5.Python Syntax

  1. Python Line Structure
  2. Line Structure Exercise
  3. Python Comments
  4. Joining Lines in Python
  5. Working with Multiple Statement on a Single Line
  6. Indentation


Section 3: Python Basic Data Types

  1. Python Basic Data Types Overview
  2. Python Variables
  3. Integers and Floats
  4. String Overview
  5. String Manipulation
  6. String Indexing
  7. String Slicing
  8. Working with Boolean
  9. Printing Function
  10. Mini Project - Letter Counter


Section 4: Python Operators

  1. Python Operators Overview
  2. Arithmetic Operators
  3. Assignment Operators
  4. Comparison Operators
  5. Logical Operators
  6. Identity Operators
  7. Membership Operators
  8. Bitwise Operators


Section 5: Python Advanced Data Types

  1. Python Advanced Data Types Overview
  2. Python Lists 
  3. List Slicing and Indexing
  4. Python Tuples
  5. Python Sets
  6. Python Dictionaries
  7. When To Use Each One?
  8. Compound Data Types


Section 6: Python Control Flow Part 1

  1. Python Control Flow Part 1 Overview
  2. Intro To Control Flow
  3. More Conditional Statements
  4. For Loops
  5. While Loops


Section 7: Python Control Flow Part 2

  1. Python Control Flow Part 2 Overview
  2. Break Statements
  3. Continue Statements
  4. Zip Function
  5. Enumerate Function
  6. List Comprehension


Section 8: Python Functions

  1. Python Function Overview
  2. Intro To Functions
  3. Python Help Functions
  4. Defining Functions
  5. Variable Scope
  6. Doc Strings


Section 9: User Input and Error Handling

  1. User Input and Error Handling Overview
  2. Intro To Error Handling
  3. User Input
  4. Syntax Errors
  5. Exceptions
  6. Handling Exceptions Part 1
  7. Handling Exceptions Part 2


Section 10: Python Advanced Functions

  1. Python Advanced Function Overview
  2. Lambda Functions
  3. Functions args and kwargs
  4. Python Iterators
  5. Generators and Yield
  6. Map Function
  7. Filter Function


Section 11: Python Scripting and Libraries

  1. Python Scripting and Libraries Overview
  2. What is a Script?
  3. What is an IDE?
  4. What is a Text Editor?
  5. From Jupyter Notebook to VScode Part 1
  6. From Jupyter Notebook to VScode Part 2
  7. Importing Scripts
  8. Standard Libraries
  9. Third-Party Libraries


Section 12: NumPy

  1. NumPy Overview
  2. Intro To NumPy
  3. Why Use NumPy
  4. NumPy Arrays
  5. Reshaping, Accessing, and Modifying
  6. Slicing and Copying
  7. Inserting, Appending, and Deleting
  8. Array Logical Indexing
  9. Broadcasting


Section 13: Pandas

  1. Intro To Pandas
  2. Pandas Series
  3. Pandas Series Manipulation
  4. Pandas DataFrame
  5. Pandas DataFrame Manipulation
  6. Dealing with Missing Values


Section 14: Intro To OOP

  1. Functional vs OOP
  2. OOP Key Definitions
  3. Create Your First Class
  4. How to Create and Use Objects
  5. How To Modify Attributes


Section 15: Advanced OOP

  1. Python Decorators
  2. Property  Decorator
  3. Class Method Decorator
  4. Static Methods
  5. Inheritance from A-Z


Section 16: Starting a Career in Python

  1. Python Career Overview
  2. Getting Started with Freelancing
  3. Building a Brand
  4. Personal Branding
  5. Importance of Having Website/Blog
  6. Networking
  7. Top Freelance Websites
  8. Creating a Python Developer Resume