Python
About Course
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:
- Learn the basic Python structures: strings, lists, and dictionaries
- Get a guide to becoming a professional Python developer
- Know the Python Object-Oriented Programming (OOP) language
- Explore how from scratch to create a Python program
- Learn how to calculate, retrieve, and store information using variables
- Dedicated Student Support
- Absolute Mobile compatibility
- Best Learning Experience on World’s Best LMS
- Flexible Study Opportunities
- Certification upon Course Completion
Course Design
You can take this [su_post post_type=”course”] 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.
Assessment
The [su_post post_type=”course”] 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 [su_post post_type=”course”] 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 [su_post post_type=”course”] 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.
Course Content
Course Promo
Python Promo Video
Section 1: Introduction to Python Programming from A-Z
Intro To Python Programming
What is Python Programming
Who is This Course For – Python Programming
Python Marketplace
Python Job Opportunities
Getting a python job w.o degree
Python Job Roles
Python Course Structure
Getting Familiar With Python (section overview)
Section 2: Getting Familiar with Python
Installing Python on Windows
Anaconda and Jupyter Notebooks Part1
Anaconda and Jupyter Notebooks Part2
Python Syntax
Line Structure Part1
Line Structure Part2
Comments
Joining Lines
Multiple Statements on a Single Line
Indentation
Python Basic Data Types (section overview)
Python Variables
Section 3: Python Basic Data Types
Integers and Float
Strings Overview
String Manipulation
String Indexing
String Slicing
Booleans
Printing
Mini-Project 1 – Letter Counter (1)
Python Operators (section overview)
Arithmetic Operators
Assignment Operators
Section 4: Python Operators
Comparison Operators
Logical Operators
Identity Operators (Need slide update as (Equality is misspelled)
Membership Operators
Bitwise Operators
Python Advanced Data Types (section overview)
List Overview
List Indexing and Slicing
Tuples
Section 5: Python Advanced Data Types
Sets
Dictionary
When to use each one
Compound Data Types
Control Flow Part 1 (section overview)
Basic Conditional Statements
Intro to Control Flow
More Conditional Statements
For Loops
Section 6: Python Control Flow Part 1
While Loops
Control Flow Part 2 (section overview)
Break Statements
Continue Statements
Zip Function
Enumerate Function
List Comprehension
Section 7: Python Control Flow Part 2
Python Functions (section overview)
Intro to Functions
Python Help Function
Defining Functions
Variable Scope
Doc Strings
Error Handling and User Input (section overview)
Section 8: Python Functions
Intro to Error Handling
User Input
Syntax Errors
Exceptions
Handling Exceptions 1
Handling Exceptions 2
Python Advanced Functions (section overview)
Section 9: User Input and Error Handling
Lambda Functions
Functions args and kwargs
Iterators
Generators and Yield
Map Functions
Filter
Scripting and Libraries (section overview)
What is a script
Section 10: Python Advanced Functions
What is an IDE
What is a text editor
From jupyter notebook to vscode 1
From jupyter notebook to vscode 2
Importing Scripts
Standard Libraries
Third Party Libraries
Numpy section overview
Section 11: Python Scripting and Libraries
What is NumPy
Why NumPy
NumPy Arrays – Python Programming
Reshaping, Modifying and Accessing NumPy arrays
Slicing and Copying
Inserting , Deleting, Appending
Logical Indexing
Broadcasting – Python Programming
Pandas
Pandas Series
Section 12: NumPy
Pandas Series Manipulation
Pandas DataFrame
Pandas DataFrame Manipulation
Dealing with Missing Values
Functional vs OOP
OOP key definitions
Create your First Class
How to create and use Objects
Modifying Attributes
Python Decorators
Section 13: Pandas
Property Decorator
Class Methods Decorator
Static Methods Decorators
Inheritance
Starting a Career in Python Overview
Getting Started with Freelancing
Building a Brand
Section 14: Intro To OOP
Personal Branding
Importance of Website Blog
Networking Do_s and Don_ts – Python Programming
Top Freelance Sites – Python Programming
Creating a Python Developer Resume
Final Quiz- Python
Order Certificate
Order Certificate
