Data Science & Analytics

Build the data career you’ve been dreaming about.

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.

  • No prior experience or coding required
  • 12 weeks, live online
  • Python, SQL, Power BI and Tableau
  • Certificate on completion

Every company runs on data. Learn to be the person who makes sense of it.

Data Science & Analytics course
  1. Loaded sales_2026.csv, 48,210 rows
  2. Cleaned 1,204 duplicates removed, 312 blanks filled
  3. Query Revenue by region, last 6 months
  4. Insight North-West revenue down 12% since March
  5. Shared Dashboard sent to the sales director
A normal morning for a data analyst. On this course you learn to take raw data all the way to a decision like this.

Does this sound like you?

  • You work with spreadsheets but feel you’re only scratching the surface.
  • You keep seeing data analyst jobs and wonder how people actually get in.
  • You want to be the person in your team whose insights drive real decisions.

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.

What you’ll be able to do

Clean and prepare data

Turn messy spreadsheets and exports into reliable data you can trust.

Query with SQL

Pull exactly the data you need from databases to answer business questions.

Analyse with Python

Explore trends, patterns and outliers using the language data teams use every day.

Build dashboards

Create clear, interactive dashboards in Power BI and Tableau.

Predict what’s next

Get started with machine learning models that forecast and automate decisions.

Tell the story

Present your findings so managers and clients understand and act on them.

What our students say

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
Timi Kay
Munachi Valentine
Chigbo Umeh
Olayemi

Our alumni work at organisations including the NHS, Malvern Panalytical, the University of Hertfordshire and the University of Central Lancashire.

Who this course is for

  • Complete beginners who want a way into tech
  • Graduates who want a practical, in-demand skill
  • Admin, finance and operations staff who work with spreadsheets
  • Career switchers from any industry
  • Professionals who want to become the data person in their team

No prior experience or coding required.

Roles this can lead to

Data skills are needed in almost every industry, from finance and retail to healthcare and government.

  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Business Analyst
  • Junior Data Scientist
  • Insights Analyst
  • Data-led roles in your current team

How the 12 weeks run

  1. Weeks 1–4

    The foundation

    Live sessions on the core toolkit: spreadsheets, SQL, Python and data visualisation. Weekly tasks build your confidence with each tool.

  2. Weeks 5–8

    The deep dive

    Real business scenarios. Analyse real datasets, build dashboards and work in small teams to answer problems like a data team would.

  3. Weeks 9–12

    Capstone and mastery

    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.

Learn from people who do this for a living

Ayodele Atoyebi

Ayodele Atoyebi

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.

Dr. Nnamdi Ogbuke

Dr. Nnamdi Ogbuke

Strategic Leader and Consultant

PhD, MBA, FHEA

Senior Lecturer in Operations and Analytics at the University of Hertfordshire.

Everything included

  • 12 weeks of live online classes
  • Recordings of every session
  • Hands-on practice with real datasets
  • Capstone project for your portfolio
  • One-to-one feedback from instructors
  • Certificate on completion

Data Science & Analytics

£700

Enrol now

No prior experience or coding required. Secure online payment.

Questions people ask before enrolling

Do I need any experience in data or coding?

No. The course starts from the fundamentals and builds up step by step. Many of our students come from non-technical backgrounds.

How long is the course and how much time do I need?

It runs for 12 weeks, live online. Plan for around 8 hours a week across live classes, practice and assignments.

What if I miss a live class?

Every session is recorded, so you can catch up at your own pace.

I’m not good at maths. Can I still do this?

Yes. We teach the practical analysis you’ll use at work, step by step, with real examples rather than heavy theory.

What tools will I learn?

Python, SQL, Power BI and Tableau, the tools data teams use every day.

What do I need to take part?

A laptop and a stable internet connection. We guide you through installing everything you need.

Will I get a certificate?

Yes. You receive a 1 Goal Analytics certificate when you complete the course.

Will this help me get a job?

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.

The data skills you build in the next 12 weeks can shape the next 10 years.

Start building your data career
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