Data Analyst TrainingStarts Thu 12 or Fri 13 Nov · 6–8pm UK · Live online
Early bird £500 · Standard £800Enrol now
● 10-WEEK LIVE ONLINE PROGRAMME

Don't just learn the tools. Learn to think like a Data Analyst.

A practical 10-week programme that teaches you how to turn business questions into trustworthy analysis using Excel, SQL and Power BI. Work with realistic data, build projects you can explain confidently, and practise live with guided support.

Starts: Thursday 12 or Friday 13 November 2026Live: 6–8pm UK · choose your start sessionLevel: Beginner-friendly
Learning experience ↓ Weekly curriculum ↓ Pricing & enrolment ↓
Your practical learning path

From messy data to clear decisions.

01 · Excel
Explore, clean and organise
02 · SQL
Query and validate
03 · Power BI
Visualise and explain
04 · Portfolio
Show the evidence behind your work
Senior BI leadership experienceReal-world analytics, intelligence and transformation leadership.
20+ hours live teachingInteractive sessions, explanations and guided practice.
One business, multiple toolsFollow the same case from raw data to recommendation.
Projects + career supportBuild evidence you can discuss at interview.
Why this programme is different

This is not a "watch videos and hope" course.

The programme is built around live explanation, realistic business problems and work you can actually show and discuss.

◉

Learn live

Ask questions in the moment, answer live knowledge checks and work through difficult concepts with the trainer rather than learning alone.

⌁

Work with realistic data

Follow one fictional company, Harbourline Supplies, across Excel, SQL and Power BI instead of jumping between unrelated toy datasets.

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Build evidence of what you can do

Complete Excel, SQL, Power BI and capstone work that demonstrates your thinking, not simply your ability to follow instructions.

The analytical journey

Follow one business from question to recommendation.

You will return to Harbourline Supplies throughout the programme, seeing how the same business question evolves across different analytical tools.

1
Business questionClarify the decision
2
Raw dataUnderstand the grain
3
Clean in ExcelProfile and validate
4
Analyse in SQLQuery the business
5
Model in Power BIBuild useful measures
6
Explain the storyWhat happened and why
7
Recommend actionWhat should happen next
See the programme, not just the promises

A real learning environment, already built and ready for Week 1.

Your course materials, case study, learner portal, projects and progress tracking are designed as one connected learning experience.

RoundUp Tech Learning
Learner view
Welcome back 👋
Your learning progress follows you across devices.
Next live classWeek 1 · Thinking Like a Data AnalystThu 12 or Fri 13 Nov · 6:00–8:00pm UK
Before classWorkbook · Business Brief · Handbook
Progress0 / 10 weeks · Ready to start
Knowledge checksUnlock after each live class
ProjectsExcel · SQL · Power BI · Capstone

Your private learner portal

One place for your schedule, learning materials, projects, knowledge checks, career resources and progress.

Secure learner loginWeekly resourcesProgress trackingCareer hub

Already enrolled? Sign in to the learner portal ↗

Preview of the RoundUp Tech Week 1 learner workbook

Guided workbooks, not passive notes

Each workbook turns the live lesson into an activity. Week 1 starts with analytical thinking before the first dataset is introduced in Week 2.

Business questionsKPIsGrainChart choice
Your 10-week journey

Every week answers: what will I be able to do?

The tools matter, but the bigger goal is learning how analysts reason, validate and communicate.

WEEK 1
04 OCT

Think Like a Data Analyst

Turn vague stakeholder requests into clear analytical questions. Understand data types, KPIs, grain and chart choice.

WEEK 2
11 OCT

Clean Data with Excel

Take a messy business extract and begin turning it into analysis-ready data using tables, formulas, IF and lookups.

WEEK 3
18 OCT

Analyse with Excel

Use PivotTables, charts and exploratory analysis to identify patterns and explain what the numbers mean.

WEEK 4
25 OCT

SQL Fundamentals

Retrieve, filter, sort, group and summarise business data with clear, reproducible queries.

WEEK 5
01 NOV

SQL for Real Analysis

Join tables and answer more complex questions using JOINs, CASE, CTEs and subqueries.

WEEK 6
08 NOV

Trust the Data

Identify missing data, duplicates, unusual values and misleading summaries. Learn when an average helps and when it hides the story.

WEEK 7
15 NOV

Power BI & Power Query

Transform, model and visualise the same Harbourline business data in Power BI.

WEEK 8
22 NOV

DAX & Dashboard Design

Create measures, KPIs and dashboards that help people answer clear questions rather than simply display data.

WEEK 9
29 NOV

Tell the Story

Turn analysis into findings, recommendations and stakeholder conversations. Use AI responsibly as an analytical assistant.

WEEK 10
06 DEC

Present Your Work

Complete your capstone, present your analysis and practise explaining your analytical decisions in interviews.

How learning works

A weekly rhythm designed to make the learning stick.

You will prepare, practise live, reinforce after class and keep building during the week.

Before class

Arrive with context

Open the short brief and learner workbook so the session can focus on thinking and practice.

During class

Learn, answer, discuss

See worked examples and answer live knowledge questions that the trainer can use to explain misconceptions.

After class

Check your understanding

Complete the weekly knowledge check, review explanations and continue the practical exercise.

During the week

Build evidence

Progress your project, practise independently and use support routes when you get stuck.

What you'll leave with

Not just notes. Work you can explain.

The programme is designed to leave you with tangible evidence of how you approach data problems.

  • A cleaned and documented Excel analysis
  • SQL queries answering business questions
  • An interactive Power BI report
  • A capstone business analysis and presentation
  • Portfolio-ready examples of your analytical thinking
  • CV, LinkedIn and interview guidance
  • Certificate of Completion, subject to programme requirements
01
Excel project

Clean and analyse a realistic extract, then explain what the numbers mean.

02
SQL exercises

Answer increasingly complex business questions with reproducible queries.

03
Power BI project

Transform, model and visualise Harbourline data in an interactive report.

04
Capstone

Answer three questions: What happened? Why does it matter? What should happen next?

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What do employers actually expect from a new analyst?

Some of the most valuable lessons are rarely found in software tutorials. Selected experienced professionals may join the programme for candid conversations about real working life, mistakes, interviews, stakeholder expectations and career progression.

Guest participation is subject to professional availability and complements the core instructor-led programme.

Industry Leader Conversations

Hear what the job is really like.

Employer expectationsWhat makes a developing analyst useful from day one?
Common mistakesWhat experienced analysts wish they had understood earlier.
Stakeholder workHow real requests differ from tidy classroom exercises.
Career routesPaths into analytics, BI, reporting and insight roles.
InterviewsHow to explain projects without overstating experience.
AI in analyticsHow to use AI responsibly without outsourcing judgement.
Enrolment

Secure your place.

Your place is secured when your payment is successfully received. Stripe securely handles your card details.

Prefer to pay in instalments?

Instalment arrangements are available by agreement. Email the training team before you enrol and we will agree a payment schedule with you. The number of payments, dates and total will be confirmed in writing before you commit.

  • Tell us which schedule would work for you
  • We confirm the arrangement in writing
  • Your place is secured once the first payment is received
Contact the training team

Or email training@rounduptech.com

Flexible November start: select Thursday 12 or Friday 13 November, 6–8pm UK, before checkout. Live sessions are planned for weekday evenings. We keep cohort sizes focused and may make reasonable timetable adjustments where this helps the group get the most from live tutor support.
The programme includes a two-week Christmas break. The detailed teaching calendar will be shared with enrolled learners.
Have a valid RoundUp Tech promotion code? Enter it on the secure Stripe checkout page. Private eligibility codes are not published here.
Before you enrol

Frequently asked questions

Roundup Tech delivers live, interactive sessions with guided practice, feedback and practical projects. Contact the training team if you would like more information about the teaching approach.
There are two first-session options to provide flexibility: Thursday 12 November or Friday 13 November 2026, from 6–8pm UK time. Choose your preferred date when enrolling. Your detailed course calendar will be shared after enrolment.
No. The programme is designed to be beginner-friendly, while still expecting you to practise and complete project work between sessions.
The core programme includes a minimum of 20 hours of live instructor-led training across 10 weeks. Guest industry conversations may provide additional live learning time where scheduled.
You will need Microsoft Excel through Microsoft 365 (some functions we use are not in Excel 2021 or earlier), Power BI Desktop and a reliable internet connection. Power BI Desktop runs on Windows only, so if you use a Mac you will need access to a Windows computer or a Windows cloud PC for the Power BI weeks. Power BI Desktop and SQL Server Express are free, and setup guidance is provided before each module. If you are unsure whether your computer will work, email the training team before you enrol and we will check with you.
Every live session is recorded and shared with enrolled learners, so you can catch up on anything you miss. Live attendance still counts towards the Certificate of Completion, which normally requires attending at least 80% of live sessions. See the training terms for full details.
Allow two hours for the live class plus approximately two to four hours for practice, exercises and project work where possible.
No. The programme develops skills, practical evidence, portfolio material and career readiness, but employment, promotion, interview success or salary outcomes cannot be guaranteed.
The standard programme fee is £800. The £500 early-bird price is available until 31 October 2026 at 11:59pm UK time; from 1 November the standard £800 price applies. There are no further compulsory costs. If you would prefer to pay in instalments, email training@rounduptech.com before enrolling and we will discuss an arrangement with you.
Online enrolments are subject to applicable UK consumer cancellation rights and the arrangements set out in the RoundUp Tech Training Terms & Conditions and Refund Policy.
Ready to begin?

Learn the tools. Build the judgement. Show the work.

Choose Thursday 12 or Friday 13 November 2026 for your first live session, 6–8pm UK. Questions before enrolling? Speak to the training team.

Enrol nowtraining@rounduptech.com