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Python for Everybody
One Education

Accredited by CPD QS | Instant Access | Free Digital Certificate of Completion | Engaging Learning Materials

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
9.5 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
Certificates
  • Reed Courses Certificate of Completion - Free
  • Certificate of completion - £9
  • Certificate of completion - £15
Additional info
  • Tutor is available to students

330 students purchased this course

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Overview

Python roles grew by 28% in the UK in 2025, driven by AI, automation and data projects.
UK tech employers reported 42% higher demand for Python skills across finance, retail and healthcare.
Learning Python supports entry into a sector projected to add 150,000+ new digital roles by the end of 2025.

Python continues to shape modern technology across the UK in 2025. The language stays popular because learners apply it in many areas, including automation, data tasks, AI and app development. This course supports learners who want a simple path through Python, starting from the very beginning and moving toward more advanced topics. Each section flows in a clear order, and every topic builds naturally on the previous one. Learners stay confident because every stage focuses on progress instead of pressure. The course starts with a gentle introduction, and the pace stays smooth from the first module to the final project. Python remains known for easy syntax, steady growth, and wide use in digital sectors. These benefits help learners gain skills that support long-term development. Organisations in tech, finance, design, education, and even entertainment continue to rely on Python solutions, so the language remains a strong pick for individuals across the UK. The pathway created in this course helps learners grow through structured topics and active learning. Because each lesson uses simple language and clear examples, learners stay motivated without feeling overwhelmed. Every part connects to real scenarios so learners follow along easily.

The course begins with an Introduction to Ethical Hacking. This module helps learners explore digital safety. Many UK industries now focus on cyber awareness, so this topic grows more relevant each year. After this, learners move into the Introduction module. This section sets the tone and helps learners gain confidence before progressing toward coding work. During Beginner-friendly Python, learners study basic Python ideas through short, guided steps. They write simple code, fix small errors, and learn to think logically. They grow slowly, and the structure keeps the learning smooth. The next step is Intermediate Python. This stage helps learners work with more features, including functions, loops and structured tasks. They gain more confidence as they learn through short, clear examples. After that, learners explore Advanced Python. Here they move into more powerful ideas that prepare them for the final project. Every part stays easy to follow, and each topic builds on earlier work. The final stage in the course is the Final Project: Create an Image Recognition Application. This project helps learners apply all previous lessons in one clear path. They use Python to build a full application, and they test their work while following the project steps. Python developers in the UK often work on similar tasks, so this final project stays relevant. The course supports steady progress, and every module moves learners forward one step at a time. Because each lesson uses a friendly tone and organised structure, learners stay focused from start to finish. The pathway helps learners grow through simple steps, and the learning experience remains smooth and encouraging.

Learning Outcomes

  • Apply core Python skills across several tasks
  • Write code using beginner, intermediate and advanced concepts
  • Use Python features to solve structured problems
  • Build a full image recognition project with Python
  • Follow coding steps with more accuracy and confidence

Please note: The TOTUM card is not included in the course price. Additional fees may be required if you choose to apply for or claim a TOTUM card.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Certificate of completion

Digital certificate - £9

CPD Accredited PDF Certificate.
A PDF Certificate: £9

Certificate of completion

Hard copy certificate - £15

CPD Accredited Hard Copy Certificate.
A Hardcopy Certificate (within the UK): £15
A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

1
section
94
lectures
9h 33m
total
    • 1: 000_Course_Intro_GENERIC 02:59
    • 2: 000_Course_Intro_PYTHONFOREVERYBODYDOTCOM_ONLY_2 02:59
    • 3: 000_Course_Intro_UDEMY_ONLY 03:12
    • 4: 010_Python_2_vs_Python_3 02:00
    • 5: 020_Where_is_python_used_these_days 06:32
    • 6: 029_Windows_Only_Installing_Python 04:23
    • 7: 030_Installing_Python 01:58
    • 8: 039_Windows_Only_Command_Line_Crash_Course 04:04
    • 9: 040_Command_Line_Crash_Course 05:41
    • 10: 050_Running_Python_Code 05:45
    • 11: 059_Windows_Only_Jupyter_Notebooks 03:55
    • 12: 060_Jupyter_Notebooks 07:26
    • 13: 061_Where_to_Download_the_Code 01:37
    • 14: 062_Taking_Notes_Beside_Code 04:21
    • 15: 065_Basic_Arithmetic 03:25
    • 16: 070_Variables 06:03
    • 17: 075_Formatting_in_Python 06:24
    • 18: 080_Python_Data_Types 09:56
    • 19: 090_Mutable_Vs_Immutable 08:58
    • 20: 100_Numbers 04:47
    • 21: 110_Strings_(Sequences) 08:28
    • 22: 120_Lists_(Sequences) 04:27
    • 23: 130_Indexing_And_Slicing 06:43
    • 24: 140_String_Properties_And_Methods 08:47
    • 25: 150_User_Input 03:58
    • 26: 160_Print_Formating 06:26
    • 27: 170_Lists 10:07
    • 28: 180_Dictionaries 13:13
    • 29: 190_Tuples 05:56
    • 30: 200_Sets 06:59
    • 31: 210_Booleans 04:40
    • 32: 220_None 03:59
    • 33: 230_Files 11:32
    • 34: 240_Your_First_Python_Program 08:56
    • 35: 250_Comparison_Operators 09:21
    • 36: 260_Comparison_Shortcuts 08:24
    • 37: 270_Multiple_Comparison_Operators 07:31
    • 38: 280_Chaining_Operators_Together 06:41
    • 39: 290_Loops 03:08
    • 40: 300_For_Loops 08:12
    • 41: 310_Looping_Through_Dictionaries 05:03
    • 42: 320_While_Loops 03:11
    • 43: 330_Break_And_Continue 05:22
    • 44: 340_Type_Casting 09:32
    • 45: 350_Helpful_Operators 10:07
    • 46: 360_List_Comprehensions 09:07
    • 47: 370_Dictionary_Comprehensions 04:02
    • 48: 380_Functions 16:25
    • 49: 390_Args_And_Kwargs 08:14
    • 50: 400_Comments 06:47
    • 51: 410_Map 11:38
    • 52: 420_Filter 04:30
    • 53: 430_Lambda_Expressions 03:31
    • 54: 440_Scope 09:04
    • 55: 450_Welcome_to_OOP 12:55
    • 56: 460_Creating_Your_First_Class 02:28
    • 57: 470_Class_Attributes 05:37
    • 58: 480_Class_Methods 06:21
    • 59: 490_Real_Life_OOP_Example 05:52
    • 60: 500_Class_Inheritance 07:08
    • 61: 510_Class_Interfaces 05:29
    • 62: 520_Super_Function 04:53
    • 63: 530_Dunder_Methods 07:04
    • 64: 540_Introduction_to_Packages 02:39
    • 65: 550_Installing_3rd_Party_Packages 04:19
    • 66: 560_Finding_3rd_Party_Packages 03:29
    • 67: 570_Seeing_Installed_Packages 02:48
    • 68: 580_Introduction_to_Modules 03:43
    • 69: 590_Creating_a_Package 08:04
    • 70: 600_Name_and_Main 07:20
    • 71: 610_Errors_and_Exceptions 06:15
    • 72: 620_Catching_Exceptions 12:19
    • 73: 630_Unit_Tests 12:11
    • 74: 640_Nested_Functions 07:14
    • 75: 650_Decorators 08:23
    • 76: 660_Generators 14:42
    • 77: 670_Linting 07:38
    • 78: 680_Virtual_Environments 13:24
    • 79: 690_Requirement_Files 03:51
    • 80: 700_Interactive_Python 03:14
    • 81: 710_Python_Versions 05:34
    • 82: 720_Local_Server 04:03
    • 83: 730_Summary 03:13
    • 84: MISC_Asking_Great_Questions 02:30
    • 85: MISC_Asking_Great_Questions_Generic_Not_Python_Specific 02:07
    • 86: Project_010_demonstration 00:51
    • 87: Project_020_python_environment 01:54
    • 88: Project_030_installing_packages 01:53
    • 89: Project_040_custom_model 01:58
    • 90: Project_050_the_code 04:29
    • 91: Project_060_first_detection 05:12
    • 92: Project_070_another_example 02:28
    • 93: Project_080_confidence_matters 04:34
    • 94: Project_090_how_to_learn_more 01:35

Course media

Description

This course guides learners through a structured Python journey. It begins with an Introduction to Ethical Hacking, which helps learners explore basic safety ideas before they begin coding. The next section, Introduction, prepares learners for the Python pathway by explaining how the course flows. After this, the Beginner-friendly Python module helps learners write simple code and perform basic tasks. Learners continue to grow in the Intermediate Python module, where they explore more features and build stronger coding habits. The learning path continues with the Advanced Python module. Here, learners work with more powerful tools that support the final stage. The course ends with the Final Project: Create an Image Recognition Application. Learners use everything from earlier modules to build a full project. Each section progresses smoothly, and the entire curriculum stays simple, steady and clear.

Python for Everybody

  • Introduction
  • Beginner-friendly Python
  • Intermediate Python
  • Advanced Python
  • Final Project: Create an Image Recognition Application
  • Summary

Who is this course for?

This course is for beginners, returning learners, and anyone who wants to learn Python in a simple and structured way. UK learners who want to explore coding, grow digital skills, or prepare for a future role will find the topics helpful. Because the course starts at the beginning and moves at a steady pace, complete beginners can follow along without stress. Learners who want to explore areas like automation, AI, software work or general coding tasks may also benefit. The content suits hobby learners, students, career changers, and individuals who want a clear path through Python using short lessons and steady guidance.

Requirements

There are no formal requirements for this course. Learners aged 16 or above can join with ease. Good English, basic numeracy and simple IT skills will support smoother progress. Learners only need interest, focus and the motivation to follow the modules in order.

Career path

  • Python Developer – £45,000 per year
  • Junior Software Developer – £32,000 per year
  • Data Support Assistant – £28,000 per year
  • Machine Learning Assistant – £35,000 per year
  • AI Support Technician – £33,000 per year
  • Automation Assistant – £30,000 per year

Questions and answers

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FAQs

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