Overview
This comprehensive course on Python Programming: Beginner To Expert will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Python Programming: Beginner To Expert comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast-track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Python Programming: Beginner To Expert. It is available to all students, of all academic backgrounds.
Requirements
Our Python Programming: Beginner To Expert is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to—
- Open doors of opportunities
- Increase your adaptability
- Keep you relevant
- Boost confidence
And much more!
Course Curriculum
- 18 sections
- 121 lectures
- 15 hours, 27 minutes total length
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Intro To Python Section Overview 00:05:00 -
What is Python Programming 00:10:00
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Who is This Course For 00:05:00
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Python Programming Marketplace 00:06:00
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Python Job Opportunities 00:05:00
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How To Land a Python Job Without a Degree 00:08:00
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Python Programmer Job Roles 00:09:00
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Python from A-Z Course Structure 00:04:00
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Getting Familiar with Python Section Overview 00:06:00
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Installing Python on Windows 00:10:00
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Anaconda and Jupyter Notebooks Part 1 00:08:00
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Anaconda and Jupyter Notebooks Part 2 00:16:00
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Comments 00:05:00
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Python Syntax 00:02:00
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Line Structure 00:03:00
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Line Structure Exercise 00:07:00
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Joining Lines 00:05:00
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Multiple Statements on a Single Line 00:05:00
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Indentation 00:08:00
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Basic Data Types Section Overview 00:08:00
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String Overview 00:10:00
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String Manipulation 00:07:00
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String Indexing 00:04:00
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String Slicing 00:08:00
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Printing 00:10:00
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Python Variables 00:08:00
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Integers and Floats 00:08:00
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Booleans 00:05:00
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Mini Project 1 : Letter Counter 00:20:00
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Python Operators Section Overview 00:04:00
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Comparison Operators 00:09:00
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Arithmetic Operators 00:08:00
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Assignment Operators 00:04:00
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Logical Operators 00:13:00
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Identity Operators 00:05:00
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Membership Operators 00:02:00
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Bitwise Operators 00:08:00
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Python Advanced Data Types Section Overview 00:11:00
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Sets 00:06:00
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List Overview 00:05:00
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List Slicing and Indexing 00:04:00
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Tuples 00:02:00
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When to use each one? 00:05:00
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Compound Data Types 00:03:00
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Dictionaries 00:11:00
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Control Flow Part 1 Section Overview 00:15:00
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Intro to Control Flow 00:01:00
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Basic Conditional Statements 00:14:00
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More Conditional Statements 00:05:00
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For Loops 00:10:00
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While Loops 00:12:00
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Control Flow Part 2 Section Overview 00:02:00
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Break Statements 00:08:00
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Continue Statements 00:05:00
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Zip Function 00:07:00
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Enumerate Function 00:04:00
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List Comprehension 00:04:00
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Python Functions Section Overview 00:03:00
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Intro to Functions 00:02:00
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Python help Function 00:03:00
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Defining Functions 00:09:00
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Variable Scope 00:08:00
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Doc Strings 00:04:00
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User Input and Error Handling Section Overview 00:02:00
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Introduction to error handling 00:03:00
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User Input 00:04:00
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Syntax Errors 00:04:00
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Exceptions 00:11:00
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Handling Exceptions Part 1 00:08:00
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Handling Exceptions Part 2 00:08:00
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Python Advanced Functions Section Overview 00:05:00
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Lambda Functions 00:05:00
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Functions args and kwargs 00:10:00
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Iterators 00:08:00
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Generators and Yield 00:12:00
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Map Function 00:14:00
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Filter Function 00:08:00
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Python Scripting and Libraries Section Overview 00:05:00
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What is a script 00:01:00
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What is an IDE 00:17:00
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What is a text editor? 00:12:00
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From Jupyter Notebook to VScode Part 1 00:15:00
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From Jupyter Notebook to VScode Part 2 00:05:00
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Importing Scripts 00:03:00
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Standard Libraries 00:04:00
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Third Party Libraries 00:06:00
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NumPy Section Overview 00:04:00
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Intro to NumPy 00:04:00
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Why use NumPy? 00:04:00
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NumPy Arrays 00:10:00
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Reshaping, Accessing, and Modifying 00:07:00
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Slicing and Copying 00:06:00
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Inserting, Appending, and Deleting 00:10:00
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Array Logical Indexing 00:04:00
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Broadcasting 00:08:00
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Intro to Pandas 00:17:00
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Pandas Series 00:17:00
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Pandas Series Manipulation 00:17:00
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Pandas DataFrame 00:17:00
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Pandas DataFrame Manipulation 00:13:00
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Dealing with Missing Values 00:10:00
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Functional vs OOP 00:06:00
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OOP Key Definitions 00:04:00
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Create your First Class 00:12:00
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How to Create and Use Objects 00:06:00
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How to Modify Attributes 00:12:00
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Python Decorators 00:27:00
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Property Decorator 00:09:00
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Class Method Decorator 00:07:00
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Static Methods 00:10:00
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Inheritance from A to Z 00:21:00
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Python Career Section Overview 00:06:00
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Getting Started with Freelancing 00:09:00
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Building A Brand 00:12:00
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Personal Branding 00:13:00
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Importance of Having Website/Blog 00:04:00
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Do’s And Don’ts Of Networking 00:06:00
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Top Freelance Websites 00:08:00
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Creating A Python Developer Resume 00:06:00
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Resources – Python Programming: Beginner To Expert
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Assignment – Python Programming: Beginner To Expert
Frequently Bought Together
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4.7
(1 student)4.8 course rating - 15 reviews
£19.99
£419
This course includes:
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Duration:15 hours, 27 minutes
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Access:1 year access
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Units:121
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Level:
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CPD Points:10
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Certificate:Yes
