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Python Programming Beginner to Expert Course

What Will I Learn? How to become a professional Python Developer How to use the basic Python structures: strings, lists, …

★ ★ ★ ★ ★

4.6(5 reviews)

26 enrolled on this course

What Will I Learn?

How to become a professional Python Developer

How to use the basic Python structures: strings, lists, and dictionaries

How to use Python Object-Oriented Programming (OOP)

How to land your first job as a Python Developer

How to write Python scripts to perform automated actions

Course Overview

The innovative Python Programming Beginner to Expert Course has been compiled with the assistance and expertise of industry professionals. It has been carefully crafted to meet the business requirements needed for an outstanding contribution to this role and the career path beyond it. By enrolling in this tutorial, a significant advantage can be gained by the student for securing their dream job and building an excellent reputation in this sector.

This popular Python Programming Beginner to Expert Course has been designed to help dedicated individuals train to become the absolute best in this business field. Many other entrepreneurs and talented students have already completed this course, and others like it, empowering them to move onto satisfying and rewarding careers. This unique Python Programming Beginner to Expert Course course is perfectly suited for those dedicated and ambitious individuals who are committed to genuinely becoming the best in the business.

The Python Programming Beginner to Expert Course is recognised and accredited by CPD standards, so all contents are guaranteed to be accurate and reputable, adding valuable competencies and qualifications to a CV, making anyone stand out from other potential candidates or business rivals. For added convenience, the Python Programming Beginner to Expert Course consists of a range of educational modules that allow study sessions to be organised at any time and any place

When the final assessment of the Python Programming Beginner to Expert Course has been completed, a certificate of completion is supplied to evidence newly acquired skills and knowledge. This will provide a significant boost for job-seeking or entry into a new and exciting career path. The valuable qualification from the Python Programming Beginner to Expert Course course can help to make all the difference in a dynamic employment sector and can also be validated on our website.

We are aware that a student’s lifestyles and work ethics may not allow much time for a dedicated study session, so the Python Programming Beginner to Expert Course has been specifically designed to be taken at a personally selected pace, and the hours that are suited to each individual. Full access is immediately available after registration, and this can be achieved via any online device, and at any global location you are sighted at.

Our fully-trained tutors are committed to helping you throughout the course, and will instantly respond to any queries that are sent to them via email.

Preview

Certification

After successfully completing the course, you will be able to get the UK and internationally accepted certificate to share your achievement with potential employers or include it in your CV. The PDF Certificate + Transcript is available at £6.99 (Special Offer - 50% OFF). In addition, you can get a hard copy of your certificate for £12 (Shipping cost inside the UK is free, and outside the UK is £9.99).

Course Curriculum

Module 01: Introduction to Python Programming from A-Z
	Introduction 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
	Introduction 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
	Introduction to Functions	00:05:00
	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	00:08:00
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
	Introduction 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
	Introduction 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 Decorator	00:10:00
	Inheritance	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
	Networking Do’s and Don’ts	00:04:00
	Top Freelance Websites	00:08:00
	Creating A Python Developer Resume	00:06:00
Resources
	Resources – Python Programming Beginner to Expert Course	00:00:00
Assignment
	Assignment – Python Programming Beginner to Expert Course	00:00:00