Python for beginners
Variables, loops, functions and notebooks - the essentials for data work.
About the programme
From data to understanding
Data skills are useful in almost every field today. This programme helps learners take their first structured steps in Python, data analysis and machine learning.
Sessions move from the basics - what data is, how to clean and explore it - to building simple models and explaining their results honestly. Practical exercises use open, public datasets, never anyone's personal data.
The aim is understanding, not just running code: participants learn to ask the right questions of data, spot misleading charts and communicate findings clearly.
- Teach the fundamentals of Python for data work
- Build skills in cleaning, analysing and visualising data
- Introduce machine learning concepts through simple, practical models
- Encourage responsible, privacy-respecting use of data
What we cover
Topics & activities
Sessions are planned around these themes. Each event page lists exactly what a session covers.
Working with data
Collecting, cleaning and organising data with spreadsheets and Python libraries.
Data visualisation
Charts that tell the truth: choosing the right chart and avoiding misleading ones.
Machine learning fundamentals
Supervised and unsupervised learning, training and testing, explained simply.
New to AI? Beginner AI workshopsPractical projects
Small projects with open datasets on topics such as education, health or the environment.
Hackathons and innovation challengesData ethics and privacy
Consent, anonymisation and fairness when working with data about people.
Upcoming
Upcoming programmes
Dates, venues, modes and registration status are updated as sessions are scheduled.
New Machine Learning & Data Science sessions will be announced here — register your interest and we will let you know.
Completed
Past programmes
Completed sessions with photos, short reports and verified outcomes.
Completed sessions will appear here after they take place, with photos, a short report and outcomes verified by our team.
Eligibility
Who can participate
Each event page states its own eligibility. In general, these sessions welcome:
- College students from any stream
- School students in senior classes (with a parent's or guardian's consent)
- Graduates and job seekers building data skills
- Working professionals moving into data roles
- NGO staff and volunteers who handle programme data
- Teachers who want to introduce data literacy
Outcomes
Benefits & learning outcomes
What participants can expect to take away. Outcomes depend on the session and on regular participation.
Solid foundations
Understand the core ideas behind data science and machine learning.
Hands-on practice
Write and run real code on real, open datasets.
Project experience
Complete small projects that you can explain and build on.
Career awareness
Learn about roles in data and the skills employers look for.
Registration
Register for a programme
Choose an open session in this area. If nothing is open right now, register your interest and we will let you know when new sessions are announced.
There is no open programme in this area right now.
New Machine Learning & Data Science sessions are announced on this page and on our events page. Leave your details and we will let you know when registration opens.
Register your interest
FAQs
Frequently asked questions
Is there a fee to take part?
Each event page shows clearly whether the session is free or has a participation fee. Fees, if any, are never collected through this website. Please do not pay anyone who asks for money in our name without first checking with us.
Who can take part?
Eligibility is listed on each event page - for example the age group, background or number of places. Participants under 18 need the consent of a parent or guardian to register.
Will I receive a certificate?
Certificates are issued only for sessions where the event page confirms it, and only to participants whose attendance is recorded. If an event page does not mention a certificate, please do not expect one.
When and where are the sessions held?
Dates, times and the venue or online details are published on each event page. Joining links for online sessions are shared privately with registered participants by email. If anything changes, registered participants are informed.
How do I register and what happens next?
Choose an open session and fill in the registration form. You receive a confirmation by email. If a session is full it may offer a waiting list, and we contact you if a place becomes available.
Do I need a laptop?
For hands-on sessions a laptop is helpful. The event page says whether you need to bring one and which free software to install beforehand.
Partner with us
Contact & partnership enquiry
Institutions, trainers, sponsors and community organisations can work with us on Machine Learning & Data Science.
- Schools, colleges & institutionsHost a session or a series for your students or members.
- Trainers, experts & speakersVolunteer your time and knowledge as a trainer, mentor or judge.
- Sponsors & CSR teamsSupport a programme with resources, equipment or venues.
- Community organisationsBring a programme to your neighbourhood, village or community centre.
Prefer email? Write to info@preritwelfarefoundation.org
Partnership enquiry
Learn, take part or help this programme grow
Register for an open session, ask us to tell you about new dates, or partner with us to bring Machine Learning & Data Science sessions to your school, college or community.