Data Science & Analytics
Course fee £700
Turn your interest in data into practical skills, real-world projects and the confidence to pursue new opportunities in data science and analytics. No maths degree or coding background needed.
Every company runs on data. Learn to be the person who makes sense of it.

You don’t need to be a maths genius to work in data. You need the right tools, real datasets to practise on and experienced analysts to guide you. That’s what this course gives you.
Turn messy spreadsheets and exports into reliable data you can trust.
Pull exactly the data you need from databases to answer business questions.
Explore trends, patterns and outliers using the language data teams use every day.
Create clear, interactive dashboards in Power BI and Tableau.
Get started with machine learning models that forecast and automate decisions.
Present your findings so managers and clients understand and act on them.
The courses weren’t just theoretical. They were packed with hands-on projects, real-world case studies and industry-relevant skills that prepared me for the job market. Since completing them, I’ve received over 18 interview invitations.
Gift OnuorahStudied Cybersecurity and Data Science. Now Materials/Logistics Technician at Malvern Panalytical
Our alumni work at organisations including the NHS, Malvern Panalytical, the University of Hertfordshire and the University of Central Lancashire.
No prior experience or coding required.
Data skills are needed in almost every industry, from finance and retail to healthcare and government.
Weeks 1–4
Live sessions on the core toolkit: spreadsheets, SQL, Python and data visualisation. Weekly tasks build your confidence with each tool.
Weeks 5–8
Real business scenarios. Analyse real datasets, build dashboards and work in small teams to answer problems like a data team would.
Weeks 9–12
Build your capstone project from raw data to final dashboard, get one-to-one feedback and present it to a panel. It becomes proof of your skills for employers.
Data Analytics Consultant
Data pipelines, real-time analytics and machine learning
Designs scalable data pipelines, real-time analytics systems and machine learning models for business optimisation.
Strategic Leader and Consultant
PhD, MBA, FHEA
Senior Lecturer in Operations and Analytics at the University of Hertfordshire.
Data Science & Analytics
£700
Enrol nowNo prior experience or coding required. Secure online payment.
No. The course starts from the fundamentals and builds up step by step. Many of our students come from non-technical backgrounds.
It runs for 12 weeks, live online. Plan for around 8 hours a week across live classes, practice and assignments.
Every session is recorded, so you can catch up at your own pace.
Yes. We teach the practical analysis you’ll use at work, step by step, with real examples rather than heavy theory.
Python, SQL, Power BI and Tableau, the tools data teams use every day.
A laptop and a stable internet connection. We guide you through installing everything you need.
Yes. You receive a 1 Goal Analytics certificate when you complete the course.
You’ll finish with practical skills, a capstone project you can show employers and the confidence to talk about your work in interviews. We also support you with CV and interview preparation.
Still have a question? Ask us on WhatsApp.