4.3

4

ratings 

This Python Programming course is designed for professionals who want to thrive in their profession. The course covers all the essential skills and knowledge needed to become specialised in this sector.

£15.00
Course Access

Unlimited Duration

Last Updated

October 13, 2021

Students Enrolled

869

Course Duration

16 hours, 38 minutes

Course Instructor
Certification
Python is a potent yet accessible general-purpose programming language, making it an excellent first language to learn. This Python Programming Course will help you to learn Python from the basic to the advanced level.
 
This course begins with the potential job opportunities in the marketplace and the techniques of landing a Python job without a degree. With its assistance, you will be able to master Python object-oriented programming with all of the basic structures like functions and loops. It includes the construction of a Python programme from the beginning, writing Python scripts, and utilising variables to store, retrieve, and calculate data.
 
By the end of this course, you will get complete knowledge and marketable skills. The course also comes with an accredited certificate, which will add extra value to your resume and help you stand out in the job market. In short, Python Programming Course is the perfect course to fast track your career. So what are you waiting for? Enroll today!
 

What you will Learn?

  • Professional Python Developing
  • Basic Python structures: strings, lists, and dictionaries
  • Python Object-Oriented Programming (OOP)
  • Core programming tools such as functions and loops
  • Python scripts to perform automated actions
  • Creating your own Python programs from scratch
  • Using variables to store, retrieve and calculate information
 

Course Media

Who is this Python Programming course for?

This course is ideal for those who work in or aspire to work in the following professions:
  • Web Designer
  • Web Developer
  • Software Developer
  • Cyber Security Manager
  • Database Manager
  • Anyone who wants to learn Python from Scratch
 

Why Choose Python Programming course?

  • Accredited by CPD
  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Tutor Support
 

Certification

By the successful completion of your course, you will get an instant accredited e-certificate. Our courses are fully accredited with updated industry knowledge and skills that aim at making you an expert in the field. The hard copy of the certificate is also available and can be sent to your address. The delivery charge is applicable with a shipping cost of £4.99 (UK) & £12.99 (Outside UK)
   

Career Path

This training course will lead you to many different career opportunities, here are few prospects:
  • Python Programmer - £59,237 per annum
  • Python Software Engineer - £60,000 per annum
  • Professional Python Developer - £89,977 per annum

Instructor

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4.85 4.847619047619048
18095

Students

Digital Entrepreneur | Marketer | Visionary

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Course Curriculum

    • 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
    • Resources – Python Programming 00:10:00
    • 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
    • Python Syntax 00:02:00
    • Line Structure 00:03:00
    • Line Structure Exercise 00:07:00
    • Comments 00:05:00
    • Joining Lines 00:05:00
    • Multiple Statements on a Single Line 00:03:00
    • Indentation 00:07:00
    • Basic Data Types Section Overview 00:08:00
    • Python Variables 00:07:00
    • Integers and Float 00:06:00
    • String Overview 00:10:00
    • String Manipulation 00:07:00
    • String Indexing 00:04:00
    • String Slicing 00:08:00
    • Boolean 00:03:00
    • Printing 00:10:00
    • Mini Project 1 : Letter Counter 00:20:00
    • Python Operators Section Overview 00:04:00
    • Arithmetic Operators 00:11:00
    • Assignment Operators 00:05:00
    • Comparison Operators 00:09:00
    • Logical Operators 00:16:00
    • Identity Operators 00:05:00
    • Membership Operators 00:02:00
    • Bitwise Operators 00:11:00
    • Python Advanced Data Types Section Overview 00:11:00
    • List Overview 00:04:00
    • List Slicing and Indexing 00:04:00
    • Tuples 00:02:00
    • Sets 00:06:00
    • Dictionaries 00:11:00
    • When to use each one? 00:05:00
    • Compound Data Types 00:05:00
    • Control Flow Part 1 Section Overview 00:15:00
    • Intro to Control Flow 00:01:00
    • Basic Conditional Statements in Python 00:14:00
    • More Conditional Statements 00:05:00
    • Python- For Loops 00:10:00
    • While Loops in Python 00:12:00
    • Control Flow Part 2 Section Overview 00:02:00
    • Break Statements in Python 00:08:00
    • Continue Statements 00:05:00
    • Zip Function 00:07:00
    • Enumerate Function 00:04:00
    • List Comprehension 00:04:00
    • 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
    • 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
    • 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
    • Python Scripting and Libraries Section Overview 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
    • Importing Scripts 00:03:00
    • Standard Libraries 00:04:00
    • Third Party Libraries 00:06:00
    • 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
    • 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
    • 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
    • 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 00:20:00
    • 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
    • Python Programming – Final Exam 01:00:00
    • Get Your Certificate & Transcript 00:00:00

Course Reviews

4.3

4.3
4 ratings
  • 5 stars3
  • 4 stars0
  • 3 stars0
  • 2 stars1
  • 1 stars0
  1. Python Programming

    2

    Good initial introduction to Python. However it is nearly 100% video based with no tests/exercises along the way. Examples would be better if demonstrated being applied to real projects. No mention of real life python use or application. Videos are good, but borderline struggle to hold attention. Alot of realtime corrections of code typos is quite off-putting

  2. Very good.

    5

    Very good course, easy to navigate

  3. Tomasz BiedronJuly 26, 2021 at 1:56 am

    really good

    5

    very usefull, great tutors

  4. Oluwatimilehin ShoretireMay 17, 2021 at 7:22 am

    Exceptional introduction

    5

    Exceptional introduction

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