Introduction to Python Programming

COURSE OVERVIEW

What this course develops

Build a strong programming foundation in Python through live, guided coding. This course is designed for beginners who want to understand how programs think, not just copy code from a screen.

Course content

Thinking like a programmer

Break problems into smaller steps, distinguish inputs from outputs and turn a task into a logical sequence before writing code.

Python syntax, variables & data

Write and run Python code, store information in variables and work with strings, numbers and basic data types.

Decisions

Use comparisons and if/elif/else logic so a program can respond differently to different situations.

Loops

Use for and while loops to repeat tasks efficiently and recognise when repetition should be controlled.

Functions

Organise code into reusable functions, pass information into them and return useful results.

Lists & structured data

Store and process collections of information using lists and other introductory Python structures.

Debugging

Read errors, trace program behaviour and use a structured process to find and fix problems.

Final Python project

Bring the skills together in a complete beginner project planned, coded, tested and explained by the learner.

Learning outcomes

Write and run structured Python programs.
Use variables, decisions, loops, functions and lists appropriately.
Break a problem into manageable coding steps.
Test and debug code more systematically.
Complete a working Python project and explain its logic.

Teaching approach

Teaching is live and tutor-led. Concepts are explained, demonstrated and then applied through guided exercises. Learners are expected to make decisions, attempt tasks, test their work and discuss errors rather than simply watch a completed solution.

Delivery options

This course can be delivered online. In-person delivery can also be requested and is subject to location, tutor availability, programme scheduling and any equipment or venue requirements.

Who it is for

This is a beginner course suitable for learners who want structured development in programming. If you are unsure whether the starting level is right, use the application form to describe your current experience and we can review the request.

Complete course structure and pricing.

Total learning time40 learning hours

One-to-one€1,050

Group · per person€750

Group requirement2+ learners

Historical Data Science Malta learning-hour structure

20 hours contact tuition
10 hours self-study (non-supervised)
5 hours supervised hands-on practice
5 hours assessment (assignments and mini-project)

Group option: the group fee is per person. A group consists of 2 or more learners and you form your own group and apply together.

Delivery: online one-to-one or group delivery. In-person delivery can also be requested and is subject to location, tutor availability and programme arrangements.

Scheduling: one-to-one delivery can be arranged flexibly according to tutor availability. Group scheduling is agreed for the self-formed group.

This Data Science Malta course is listed in MDIA's Boost Your Coding Catalogue.

Introduction to Python Programming appears in the current Boost Your Coding Catalogue published by the Malta Digital Innovation Authority (MDIA). The scheme is designed to help individuals aged 16 and over undertake basic or introductory coding training.

Funding supportUp to €1,000

Eligible age16+

CompletionMinimum 70%

Current scheme periodTo 30 Sep 2026*

MDIA states that eligible individuals may receive 100% of eligible course fees up to a maximum of €1,000 per individual. For courses already listed in the catalogue, applicants should apply for confirmation of financial support at least one month before the course starts. Following successful completion, the funding claim must be submitted within the timeframe established by MDIA.

Data Science Malta can provide the relevant course and completion/attendance documentation required from the training provider where applicable. Funding is administered by MDIA: approval, eligibility and reimbursement are not determined by Data Science Malta.

*The current MDIA guidelines state that the initiative remains in effect until 30 September 2026, contingent upon availability of funds. Applicants should always check the latest MDIA conditions before enrolling or relying on reimbursement.