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Learn how to make a genuine difference in your life by taking our popular Python Programming: Beginner To Expert Course. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Python Programming: Beginner To Expert to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Python Programming: Beginner To Expert provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
By completing the training in Python Programming: Beginner To Expert, you will be able to significantly demonstrate your acquired abilities and knowledge of Python Programming: Beginner To Expert. This can give you an advantage in career progression, job applications, and personal mastery in this area.
This course is designed to provide an introduction to Python Programming: Beginner To Expert and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Once you have completed all the modules in the Python Programming: Beginner To Expert course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Python Programming: Beginner To Expert course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
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 | ||
Protected: Assignment Operators | 00:04:00 | ||
Logical Operators | 00:13:00 | ||
Protected: 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 | |||
How to Be a Better Competitor | 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 | ||
Water Features | 00:21:00 | ||
Walls and Fences | 00:24:00 | ||
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 | ||
Exercise And Psychological Wellbeing | 00:20:00 | ||
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 | ||
Protected: 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 | ||
Resources | |||
Resources – Python Programming: Beginner To Expert | 00:00:00 | ||
Assignment | |||
Assignment – 2021 Python Programming From A-Z: Beginner To Expert | 3 weeks, 4 days |
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