Python Programming - Classroom

London School of Emerging Technology

Certificate of completion

Digital certificate - Included

LSET Validated Python Programming

£99

This course provides a comprehensive introduction to Python programming, covering core syntax, programming logic, algorithms, time and space complexity, and Big O notation. You will develop practical skills in pseudocode, flowcharts, data structures, conditional statements and file handling through hands-on exercises and project-based learning.

Beyond fundamentals, you will explore advanced Python concepts including Object-Oriented Programming, exception handling, functional programming and data manipulation. The programme also introduces Artificial Intelligence and Machine Learning concepts using industry-standard libraries.

You will gain experience working with tools such as Git, SQL databases, Docker and CI/CD concepts, ensuring you graduate with real-world technical competence.

Course Structure (Foundation Certificate)
• Duration: 2 weeks
• Teaching Hours: 4 hours
• Practice Hours (Optional): 24 hours
• Lab Hours: 4 hours
• Intake: 1st Day of Every Month

Multiple certificate pathways are available (Foundation, Advanced, Expert and above) allowing you to select the depth and duration that aligns with your career goals.

LSET Sector Specialisation Add-On

Enhance your capstone project with a sector-focused specialisation aligned with high-growth UK industries. This optional add-on strengthens your CV and improves employability.

Available Specialisations include:

• Financial Services & FinTech
• Technology & AI
• Healthcare & Biotechnology
• Film, Media & Entertainment
• Legal & Professional Services
• Real Estate & Construction
• Tourism & Hospitality
• Retail & E-commerce
• Education & EdTech
• Green Energy & Sustainability
• Cybersecurity & Data Privacy
• Logistics & Supply Chain

Topics Covered

• Python syntax and semantics
• Variables and data types
• Strings, lists, tuples, sets and dictionaries
• Conditional statements and loops
• File handling
• Object-Oriented Programming
• Exception handling
• Functional programming and lambda functions
• NumPy and Pandas
• Introduction to AI and Machine Learning
• Supervised and unsupervised learning
• Scikit-learn and TensorFlow basics
• Git version control
• Database interaction using SQL
• Web development fundamentals
• Docker and CI/CD concepts

Complementary Workshops

• Git management
• Agile project management
• Interview preparation
• CV preparation
• Personality development
• Team collaboration

Evaluation Criteria

• 18 Coding exercises
• 5 Assignments
• 5 Quizzes
• Capstone Project
• Group activities
• Presentations

Course Content

• Module 1: Python Foundations
• Module 2: Core Programming Concepts
• Module 3: Functions and Modularity
• Module 4: Data Structures
• Module 5: Working with Files and Handling Exceptions
• Module 6: Advanced Topics and Best Practices
• Module 7: Capstone Project

Skills You Will Gain

• Programming logic and problem-solving
• Data structures and collections
• Functions and modular development
• Object-oriented programming
• Exception handling
• File and JSON operations
• Database connectivity
• Version control with Git
• Real-world project development experience

Who Should Apply for this Course?

• Python developers who want to take their programming skills to the next level

• Business analysts who want to analyse data by learning Python

• Machine learning professionals who want to update their skillset

• Participants who want to start their career in data science.

Learning Objectives

• Get hands-on experience to write programs in Python

• Understand the fundamental programming constructs in Python

• Learn to use conditional statements and loops in programs

• Learn the use of collection data types like list, tuple, set, and dictionary

• Learn to do String manipulation by using built-in functions

• Learn to write functions and pass arguments

• Learn to write Object-Oriented Programs

• Learn to use exception handling in programs

• Learn to use file handling feature in Python

• No prior programming knowledge required
• Ability to complete assignments on time
• Willingness to participate in group work
• Access to a personal laptop
• English proficiency, where applicable

• Python Developer
• Data Analyst
• Machine Learning Engineer
• Product Manager
• Financial Analyst
• Educator