Python Programming and Machine Learning Skills

Master Python programming & machine learning with QLS-endorsed bundle. Online, flexible, CPD-accredited for UK careers.

4.8 4.8 Rating ( 5 Reviews )

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i Last Updated: 5th June 2026

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Overview

Python powers software, data, automation and AI, yet many learners need a clear first step before advanced machine learning. UK occupations-in-demand statistics show information and communication has the highest share of workers in high-demand roles at 66.8%, with programmers and software development professionals among the largest groups.

Python Programming and Machine Learning Skills gives learners an online route into Python setup, syntax, loops, functions, strings, files, lists, dictionaries, packages, SQLite databases, Command Prompt and Jupyter Notebook. This Python programming course supports UK pathways such as junior Python developer, junior data analyst, software developer, automation assistant, IT support technician and database assistant. Build coding confidence, understand how data is stored and prepare for later machine learning study online with Thames College from home today with confidence.

Key Benefits Included

► Accredited by CPD
► Endorsed by QLS (Quality Licence Scheme)
► Instant Access
► 24/7 Learning Assistance
► Self-paced learning and laptop, tablet, smartphone-friendly
► Fully online, interactive course with audio voiceover
► Developed by qualified professionals in the field

Sneak Peek

Learning Outcomes

This course builds Python knowledge across setup, syntax, loops, functions, data structures, files, packages, databases, command tools and machine learning foundations.

By the end of this course, learners will be able to:

► Set up Python software and create a first Python program.
► Use input, output and calculations in Python.
► Apply if, if-else, for loop and while loop logic.
► Use mathematical operators in Python programs.
► Import internal and external Python libraries.
► Work with strings, date and time features.

Who is This Course For?

This course suits learners who want an online route into Python programming, coding basics, data tasks and machine learning foundations.

This course is suitable for:

► Learners exploring coding, data or software pathways.
► Students building a base for machine learning study.
► Career changers interested in junior tech roles.
► IT learners want stronger Python and database knowledge.
► Data learners exploring lists, dictionaries, files and SQLite.
► Anyone who wants to start coding with Python from home.

Certification

CPD Certification

After successfully completing the assessment of this course, you can apply for the CPD accredited certificates.
PDF certificate: £9.99
Hardcopy certificate: £15.99

Endorsed Certificate of Achievement from the Quality Licence Scheme

Upon successful completion of this course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of —
► 139 GBP within UK
► 149 GBP for International Delivery — Postal Fees Included

Please Note: Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses

Career Opportunities

This Python Programming and Machine Learning Skills course supports coding, data, automation, software, database, IT support and machine learning study pathways. UK related salaries commonly range from £24,000–£75,000, depending on role, skills and experience.

► Python Developer — Average UK salary: £33,000–£72,000 per year
► Software Developer — Average UK salary: £30,000–£75,000 per year
► Data Analyst — Average UK salary: £32,750–£56,750 per year
► Machine Learning Engineer — Average UK salary: £47,203–£105,365 per year
► Database Assistant — Average UK salary: £26,659–£52,616 per year

Course Curriculum

The course covers a wide range of essential topics, including:

Module 01: Introduction to Python Programming

Module 02: Getting Started with Python

Module 03: Conditional Branching with Python

Module 04: Importing external/internal library in python

Module 05: Project Rock Paper and Scissors

Module 06: Strings Operation in Python

Module 07: Date and time in Python

Module 08: File Handling, read and write using Python

Module 09: Data Storage Structures, Tuple, List and Dictionary

Module 10: Writing user functions in Python

Module 11: Sending mail

Module 12: Import Tricks in Python

Module 13: Import Operating System and Platform

Module 14: Exceptions handling in python

Module 15: Installing Packages and Scheduling In Python

Module 16: Data Base In Python using sqlite

Module 17: Running Program from Command Prompt and jupyter Notebook

Module 18: Conclusion

Excellent

4.8 Average - 5 Reviews

★ Reviews

A clear and helpful course for learning Python programming basics. The modules on functions, file handling, data structures, exceptions, and SQLite were especially useful.

Well-structured and easy to follow. I liked how the course included Python libraries, email sending, scheduling, command prompt use, Jupyter Notebook, and a small project.

Course Curriculum

Unit 01: Introduction to Python Programming
	Module 01: Course Introduction	00:02:00
Unit 02: Getting Started with Python
	Module 01: Software Installation	00:02:00
	Module 02: Hello World Program	00:06:00
	Module 03: Input and Output	00:07:00
	Module 04: Calculating Average of 5 Numbers	00:03:00
Unit 03: Conditional Branching with Python
	Module 01: If Loop In Python	00:06:00
	Module 02: Program Using If Else part 1	00:03:00
	Module 03: Program Using If Else part 2	00:08:00
	Module 04: Program for Calculator	00:02:00
	Module 05: Program Using For Loop	00:08:00
	Module 06: For Table	00:05:00
	Module 07: For loop and Mathematical Operator in Python	00:04:00
	Module 08: Factorial of Number Using Python	00:06:00
	Module 09: Program Using While	00:05:00
	Module 10: While Loop Example	00:07:00
	Module 11: Tasks for Practice	00:02:00
Unit 04: Importing external/internal library in python
	Module 01: Importing Library in Python	00:07:00
Unit 05: Project Rock Paper and Scissors
	Module 01: Rock Paper and Scissor Game	00:06:00
Unit 06: Strings Operation in Python
	Module 01: Program Using String part 1	00:05:00
	Module 02: Program using String 2	00:06:00
	Module 03: Program Using String 3	00:06:00
	Module 04: Program Using String part 4	00:03:00
Unit 07: Date and time in Python
	Module 01: Use of Date and Time part 1	00:05:00
	Module 02: Use of Date and Time part 2	00:05:00
Unit 08: File Handling, read and write using Python
	Module 01: File Handling Part 1	00:08:00
	Module 02: File Handling Part 2	00:07:00
Unit 09: Data Storage Structures, Tuple, List and Dictionary
	Module 01: Tuple in Python Part 1	00:10:00
	Module 02: Tuple in Python Part 2	00:07:00
	Module 03: Using Lists part 1	00:07:00
	Module 04: Using List part 2	00:12:00
	Module 05: Using Lists part 3	00:06:00
	Module 06: Using Lists part 4	00:08:00
	Module 07: Using Lists part 5	00:02:00
	Module 08: Use of Dictionary Part 1	00:04:00
	Module 09: Use of Dictionary Part 2	00:05:00
	Module 10: Use of Dictionary Part 3	00:08:00
	Module 11: Use of Dictionary Part 4	00:07:00
Unit 10: Writing user functions in Python
	Module 01: Function in Python Part 1	00:06:00
	Module 02: Function in Python Part 2	00:05:00
	Module 03: Function in Python Part 3	00:04:00
	Module 04: Function in Python Part 4	00:07:00
	Module 05: Function in Python Part 5	00:08:00
Unit 11: Sending mail
	Module 01: Send Email	00:09:00
Unit 12: Import Tricks in Python
	Module 01: Import Study part 1	00:07:00
	Module 02: Import Study part 2	00:03:00
Unit 13: Import Operating System and Platform
	Module 01: Importing OS	00:06:00
	Module 02: Import Platform	00:05:00
Unit 14: Exceptions handling in python
	Module 01: Exception in Python part 1	00:11:00
	Module 02: Exception in Python part 2	00:07:00
	Module 03: Exception in Python part 3	00:05:00
Unit 15: Installing Packages and Scheduling In Python
	Module 01: Installing Packages using built in package manager	00:08:00
	Module 02: Scheduler in Python	00:05:00
Unit 16: Data Base In Python using sqlite
	Module 01: Data Base 1	00:08:00
	Module 02: Data Base 2	00:09:00
	Module 03: Data Base 3	00:08:00
	Module 04: Data base 4	00:07:00
	Module 05: Data Base 5	00:06:00
Unit 17: Running Program from Command Prompt and jupyter Notebook
	Module 01: IDE_1	00:05:00
	Module 02: IDE_2	00:07:00
Unit 18: Conclusion
	Module 01: Conclusion	00:02:00
Assignment
	Assignment – Python Programming Masterclass	1 week, 1 day

Certificate of Achievement

Upon completion, you will receive a CPD-accredited certificate recognised globally. Choose from:

Pdf Certificate & Transcript £7.99
Hardcopy Certificate & Transcript £17.99

This certification validates your knowledge and skills, boosting your employability in healthcare.

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1. What is Python Programming and Machine Learning Skills? +

Python Programming and Machine Learning Skills is an online coding course covering Python setup, syntax, loops, functions, files, data structures, packages, SQLite databases, Command Prompt and Jupyter Notebook for learners building coding, data and automation knowledge.

2. Is this Python course suitable for beginners? +

Yes. This Python course is suitable for beginners because it starts with installation, simple outputs, inputs and calculations before moving into logic, loops, functions, files, packages, databases and Jupyter Notebook in clear learning stages.

3. What will I learn in this Python course? +

You will learn Python setup, input and output, calculations, if and else logic, loops, libraries, strings, date and time, file handling, tuples, lists, dictionaries, functions, exceptions, packages, SQLite and Jupyter Notebook basics.

4. Does this course include machine learning? +

This course mainly builds Python foundations that support later machine learning study. Learners explore coding logic, files, data structures, SQLite databases and Jupyter Notebook, which are useful starting points before moving into advanced machine learning topics.

5. What jobs can this Python course support? +

This course can support interest in junior Python developer, junior data analyst, software developer, automation assistant, database assistant, IT support technician and technical support roles, depending on experience, portfolio strength and further training.