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Technology & AI courses
Beginner friendlyTake this data science course online and learn to turn a vague question into an answer you can defend, and say exactly how sure you are. Following a UK meal-kit company and real ONS and HM Land Registry data, you'll write your own pandas code in Google Colab, check messy data, run sound statistics, analyse an A/B test and predict who cancels. School maths is enough, and you need no coding experience.
Course overview
This course takes you from a first data question answered in your browser to a recommendation a manager can act on. You'll learn to frame questions data can answer, find and join data safely, explore and check it, describe it fairly and chart it truthfully, then move into probability, samples and uncertainty, A/B tests, and correlation and regression, before a capstone of your choice on real UK data.
By the end you can write the pandas code that loads, checks and summarises a dataset, tell a sound conclusion from a shaky one, and publish work anyone can rerun on GitHub. It suits career changers weighing up data roles, analysts who want to trust their numbers, and anyone who commissions data work and wants to question it with confidence.
Free course guide
Every module and what it covers, the price, how you're assessed and where the course can take you.
10-page PDF, free
Curriculum
An indicative outline of the modules and what each covers. Work through them in order, at your own pace.
Key benefits
Everything you need to learn the skill, prove it and put it to work.
Getting started
There is no application, no waiting for a start date and no sales call in the way.
Pay once. Instant access, yours for life.
Career outcomes
The heart of any data role is turning a question into a decision you can defend, and saying how sure you are. The certificate backs that up, and a GitHub portfolio anyone can rerun shows it.
Source: National Careers Service (gov.uk), September 2026.
An example of the certificate for the Certificate in Data Science Fundamentals.
If you're set on analyst work, Excel for Data Analysis or SQL will make you productive sooner. If you want to write full programs, not just analysis, start with Python Programming. And if you're already comfortable with statistics and pandas, go straight to Machine Learning Fundamentals.
A course advisor will talk it through with you free, and will say so if a different course fits your goal better.
Good to know
It follows a UK meal-kit company, alongside real ONS and HM Land Registry data, from a first question answered in your browser to a recommendation a manager can act on. You start by asking questions data can answer, finding and joining data safely and checking a new dataset. Then come averages, spread and fair charts, probability, samples and uncertainty, A/B tests, and correlation and regression, finishing with responsible, reproducible work and a capstone on real UK data.
Yes, enough to do the work yourself. You'll write your own pandas code in Google Colab, starting from no experience at all, and build it up one pattern at a time. For full programs beyond analysis, Python Programming is the course to follow with.
No. Everything runs in Google Colab in your browser, with nothing to install, and you need only free accounts for Google and GitHub. If your employer blocks Colab, the same work runs offline in Jupyter.
They overlap. Analysts answer business questions with the data they have, while data scientists lean further into statistics, experiments and predictive models. This course gives you a real taste of both, so you can pick the path that fits.
You don't need data from work. The lessons follow a fictional meal-kit company alongside real UK open data from ONS, HM Land Registry and the Met Office, and the capstone briefs use public data too. Keep personal and company data out of cloud notebooks you practise in.
Yes. It assumes no coding and only school maths, such as percentages and reading a graph, and the statistics are taught as you go with real examples and no formal proofs. It does ask you to write code and think carefully about evidence, which is what makes it useful.
Yes. Pass the final assessment and you get an OBA certificate of completion that an employer can verify online. It isn't a professional qualification or a university credential. The analyses you publish on GitHub are the other half of the proof.
Download the free info pack first. It walks you through every module, what you'll build and what you need before you start, so you can enrol knowing exactly what you're getting. If you'd like to talk it through, get in touch and we'll help you choose.
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Free info pack
Every module, the price, how you're assessed and where it can take you. Yours free, and it opens straight away.
Takes 30 seconds
