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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
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- Fully online, interactive course with Professional voice-over
- Self paced learning and laptop, tablet, smartphone friendly
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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:
- 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
- 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
- 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
- Python Operators Section Overview
- Comparison Operators
- Arithmetic Operators
- Assignment Operators
- Logical Operators
- Identity Operators
- Membership Operators
- Bitwise Operators
- Python Advanced Data Types Section Overview
- Sets
- List Overview
- List Slicing and Indexing
- Tuples
- Dictionaries
- When to use each one?
- Compound Data Types
- Control Flow Part 1 Section Overview
- Intro to Control Flow
- Basic Conditional Statements
- More Conditional Statements
- For Loops
- While Loops
- Control Flow Part 2 Section Overview
- Break Statements
- Continue Statements
- Zip Function
- Enumerate Function
- List Comprehension
- Python Functions Section Overview
- Intro to Functions
- Python help Function
- Defining Functions
- Variable Scope
- Doc Strings
- User Input and Error Handling Section Overview
- Introduction to error handling
- User Input
- Syntax Errors
- Exceptions
- Handling Exceptions Part 1
- Handling Exceptions Part 2
- Python Advanced Functions Section Overview
- Lambda Functions
- Functions args and kwargs
- Iterators
- Generators and Yield
- Map Function
- Filter Function
- 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
- 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
- Intro to Pandas
- Pandas Series
- 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
- How to Modify Attributes
- Python Decorators
- Property Decorator
- Class Method Decorator
- Static Methods
- Inheritance from A to Z
- 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
Course Curriculum
| Module 01: Introduction to Python Programming from A-Z | |||
| Intro To Python Section Overview | 00:05:00 | ||
| What is Python Programming | 00:10:00 | ||
| Who is This Course For | 00:05:00 | ||
| Python Programming Marketplace | 00:06:00 | ||
| 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 | 00:05:00 | ||
| 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 | 00:05:00 | ||
| 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 | 00:05:00 | ||
| Generators and Yield | 00:12:00 | ||
| Map Function | 00:14:00 | ||
| Filter Function | 00:08:00 | ||
| Module 11: Python Scripting and Libraries | |||
| Python Scripting and Libraries Section Overview | 00:05:00 | ||
| 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 | 00:01:00 | ||
| 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 | ||
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