Python Programming and Machine Learning Skills
Course Overview
The Python Programming and Machine Learning Skills course is a hands-on, beginner-friendly programme designed to build strong programming foundations and introduce data-driven problem-solving. This course takes you from Python basics to writing real programs, handling data, and preparing for machine learning pathways. You’ll learn how to work with functions, files, databases, libraries, and automation, all using Python. With practical projects and real coding workflows, this course helps you develop job-ready technical confidence. Ideal for aspiring developers, analysts, and tech professionals, it opens the door to modern tech and AI-driven careers.
Duration: 1 week, 1 day | Level: Beginner to Intermediate | Language: English
Please Note: Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.
What You'll Learn
- Write clean, efficient, and readable Python programs using core syntax and programming concepts.
- Use conditional logic, loops, and functions to solve real coding problems.
- Work confidently with Python data structures such as lists, tuples, and dictionaries.
- Perform file handling and data storage tasks using Python for real‑world applications.
- Master error and exception handling to write more robust Python code.
- Install and manage external Python libraries and packages for expanded functionality.
- Run Python programs using command line tools and Jupyter Notebook for flexible development workflows.
- Apply Python basics to lay the foundation for machine learning and AI pathways.
- Build real‑world projects (like simple games and data tasks) to demonstrate practical coding skills.
- Gain confidence to pursue career opportunities such as junior Python developer, data analyst, or automation specialist.
Exclusive Offer
What You'll Get
- 18 video lectures with practical demonstrations
- Python from scratch to job-ready
- Build real ML models
- Hands-on coding projects
- Lifetime access to course materials
- Certificate of completion
Frequently Asked Questions
Q: What is this course?
A: It’s an online, beginner‑friendly Python and machine learning training bundle designed to take you from zero coding experience to writing real Python programs and understanding machine learning foundations. You also get additional Python skill courses bundled together.
Q: Is it hands‑on or just theory?
A: t’s designed to be practical and hands‑on — you’ll do real coding, build projects (like simple games), and work with data — not just watch slides.
Q: Do I need prior experience?
A: Absolutely no experience required! Just basic English, logical thinking, internet access, and a device to learn on.
Q: Can this help me get a job?
A: Gives practical skills for junior Python roles, data analysis, or AI projects.
Q: What’s the vibe like?
A: Think friendly, hands‑on, and career‑focused — not dry theory. It’s structured so you can build confidence step by step, and you’ll feel like you can code by the end.
Related Courses
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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