Data and Analytics BootcampMost PopularEnrolling now

Data Analyst

From zero to job-ready in four months. Learn Excel, SQL, Python, Power BI, and Tableau, live, and graduate with a British certificate. The most accessible way into a data career. No prior experience required.

  • 4 months
  • 272 learning hours
  • Live
  • Small capped cohort
View Curriculum

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Data Analyst bootcamp

Live every session

Never recorded. Never self-paced.

Small capped cohort

Limited places, kept personal.

Fits your job

Morning, evening, or weekend slots.

British certificate

UKPRN 10101097. Verifiable online.

Pay monthly or in full

Small registration holds your seat.

At a glance

Duration

4 months

Cohort size

Small, focused group

Delivery

Live, instructor-led

Live time each week

7 hours (plus self-study)

Level

Beginner to Job-Ready

Cohort status

Enrolling now

Delivery model: 2 weekday sessions (2 hours each) plus 1 weekend session (3 hours) = 7 hours per week of live, instructor-led teaching.

Overview

A four-month career bootcamp that takes you from zero to a job-ready data analyst. Delivered live in small capped cohorts, around your existing job, covering Excel, SQL, Python and statistics, and business intelligence with Power BI and Tableau. Graduate with a British certificate you can verify online.

Your journey

From foundations to job-ready

Six months, one clear path, built one stage at a time.

  1. 1Foundations and Excel
  2. 2SQL and Databases
  3. 3Python and Statistics
  4. 4Job ready

Curriculum

What you will learn, month by month

Six months of live teaching and guided labs, building from computer basics to a job-ready security engineer.

01Month 01Start from zeroData Foundations and Excel

We start at the very beginning. This month builds real confidence with data and with Excel, the tool every analyst still uses every day. You learn how to organise, clean, analyse, and present data, and how to think like an analyst.

What you will learn

  • How data works: types, sources, structure, and quality
  • Excel for analysts: formulas, functions, and shortcuts
  • Pivot tables, VLOOKUP, XLOOKUP, INDEX and MATCH
  • Advanced formulas: SUMIFS, COUNTIFS, TEXT and DATE functions
  • Cleaning messy data and building stakeholder-ready charts

Hands-on labs

  • Clean a messy real dataset in Excel
  • Build a pivot table analysis from raw data
  • Build a dynamic dashboard in Excel
  • Present findings from a real dataset
Microsoft ExcelGoogle Sheets

Aligned with Data analysis and Excel foundations

02Month 02The number one skillSQL and Databases

SQL is the single most requested skill in data analyst job adverts. This month takes you from never having written a query to confidently pulling and analysing data from databases, the core daily work of an analyst.

What you will learn

  • How databases work: tables, relationships, and keys
  • Writing queries: SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • Joining tables and combining data from multiple sources
  • Aggregations, subqueries, and CTEs
  • Window functions: ROW_NUMBER, RANK, LAG and LEAD

Hands-on labs

  • Write your first queries on a real database
  • Join multiple tables to answer business questions
  • Use aggregations and CASE logic to segment data
  • Solve a set of real-world SQL challenges
PostgreSQLMySQLSQL query tools

Aligned with SQL for data analysis

03Month 03Go further than ExcelPython and Statistics for Analysts

Python lets you do in seconds what takes hours in Excel, and statistics let you explain what the data really means. This month gives you the programming and statistical foundations that lift you above a spreadsheet-only analyst.

What you will learn

  • Python from scratch for data work
  • Cleaning and analysing data with pandas
  • Visualising data with Python
  • Statistics that matter: averages, spread, distributions
  • Correlation, hypothesis testing, and reading results honestly

Hands-on labs

  • Clean thousands of rows of data with pandas in seconds
  • Analyse a real dataset end to end in Python
  • Build charts and visuals with Python
  • Run a basic statistical analysis and interpret it
PythonpandasMatplotlibJupyter

Aligned with Python and statistics for data analysis

04Month 04Job readyBusiness Intelligence, Capstone and Career Launch

The final month turns you into a job-ready analyst. You master the industry-standard BI tools, build a portfolio capstone, and launch your job search with full career support.

What you will learn

  • Build interactive dashboards in Power BI (data modelling, DAX, drill-through)
  • Build dashboards and stories in Tableau
  • Data storytelling: turning insights into decisions
  • Capstone: a full analysis and dashboard from raw data to insight
  • CV and LinkedIn review, and technical and behavioural mock interviews

Hands-on labs

  • Build an interactive Power BI dashboard with a data model
  • Build a Tableau dashboard and story
  • Take a real, messy dataset through the full analyst workflow: clean it, query it, analyse it, and build an interactive dashboard that answers real business questions. Reviewed and signed off by a senior practitioner, and the centrepiece of your portfolio.
Microsoft Power BITableauSQLPython

Aligned with Business intelligence and analyst career readiness

Your week

Designed around your job

Two short weekday sessions and one weekend session. Live, every week.

2 weekday sessions

2 hours each, morning or evening

1 weekend session

3 hours

Total

7 hours of live instruction per week

What you will be able to do

  • Clean, analyse, and present data confidently in Excel
  • Query databases with SQL, the number one analyst skill
  • Analyse data at scale with Python, pandas, and statistics
  • Build interactive dashboards in Power BI and Tableau
  • Produce a portfolio capstone from raw data to insight

Learning Hours

272 total learning hours

A substantial programme. Live instruction, guided labs, self-study, and a capstone, aligned with Level 4 practitioner outcomes.

112

Live instruction hours

7 hours per week, every week, live

80

Guided lab hours

Hands-on practice in real tools

52

Self-study hours

Reading, preparation, and review

28

Capstone and assessment

Project work and practical sign-off

Total Learning Time

272 hours

Aligned with

Level 4 practitioner outcomes

UK RQF reference. Not a regulated qualification.

Tools

Hands-on with the tools employers use

  • Microsoft Excel
  • Google Sheets
  • PostgreSQL
  • MySQL
  • Python
  • pandas
  • Matplotlib
  • Jupyter
  • Microsoft Power BI
  • Tableau

Tools are shown for reference and does not imply endorsement or partnership.

Career outcomes

Where this takes you

  • Junior Data Analyst£25,000 to £35,000
  • Data Analyst£32,000 to £45,000
  • Business Analyst (data)£35,000 to £50,000
  • BI Analyst£38,000 to £55,000
  • Senior Data Analyst£50,000 to £65,000

Data analysis is one of the most accessible, in-demand routes into tech.

Salary ranges are indicative market figures, not a guarantee. Actual pay depends on employer, location, and experience.

Certificate

A British certificate that travels

Issued by a UK-registered company and verifiable by any employer, anywhere.

XcademiaBritish Certified

Xcademia Certified Data Analyst

Verifiable at xcademia.com/verify

Xcademia Ltd

UKPRN 10101097

London

Authorised signature

  • Verify it online anytime with a unique link
  • British-issued and employer-ready
  • Add it to your LinkedIn profile and CV

Aligned with

This programme is aligned with the following industry standards and certifications. You receive a British certificate from Xcademia, a UK registered learning provider (UKPRN 10101097).

  • Data analyst roadmap aligned
  • Excel, SQL and Python
  • Power BI and Tableau
  • Hands-on labs

Xcademia training is aligned with a practical data analyst roadmap. Salary ranges are indicative market figures, not a guarantee. Xcademia is a UK-registered training company and is not affiliated with the makers of the tools taught. Outcome language is job ready, never a guarantee of employment.

Investment

Pay monthly

$899/mo

$349 registration secures your seat and holds your place while the batch forms. Then pay $899 before each month. No lock-in beyond the current month.

Pay in full

$3,596

Pay the full course today and the $349 registration is waived. One payment covers the whole programme, with nothing more to pay each month.

Prices shown in USD for United States, based on your location. On the monthly plan the registration fee is additional to the figures above and is refunded only if the batch never runs. It is waived when you pay in full.

Optional add-on

Career+

Go beyond the certificate with one month of focused career support after your bootcamp, when the job search actually happens.

After weeks of coaching and interview practice, you are ready to start applying, and you will not be doing it alone. Our team supports you through the job search: refining your CV, preparing you for real interviews, and keeping you accountable while you go after roles. We cannot promise an offer, but we make sure you walk into every interview as prepared as you can be.

  • Job Search Group, during your support month
  • Live Interview Support, during your support month
  • Technical and Soft Skills Interview Prep, during your support month
  • Plus 1 more, see the full breakdown.

$1,299

$1,049

Launch offer

You can join the bootcamp without it.

Ways to book

Three ways to join

Open Batch

Join a forming cohort. Pick your slot. Pay your first month to confirm.

Private Batch

Bring your team. 8 to 20 seats, your organisation only. Single invoice.

Bespoke Programme

Universities, NHS, government, large employers. Custom curriculum. RM6219 Direct Award eligible.

FAQ

Common questions

Do I need any experience?

No. We start from the very beginning, with data foundations and Excel, and take you to job ready. No maths, coding, or data background is needed.

Is data analysis a good career to start with?

Yes. It is one of the most accessible routes into tech, with steady demand across every industry, and it is a common stepping stone into data engineering, data science, and AI later.

How much time does it take each week?

Seven hours of live instruction: two weekday sessions of two hours and one weekend session of three hours. Plus guided labs and self-study, around twelve to fifteen hours a week in total.

What tools will I learn?

The tools employers ask for most: Excel, SQL, Python, Power BI, and Tableau. SQL and a BI tool are on almost every data analyst job advert.

What is the registration fee for?

It secures your seat and holds your place while your batch forms. It is a one-time, non-refundable fee, separate from your course payments. If your batch never runs, it is refunded in full or moved to another batch. It is waived if you pay in full.

Is it recorded?

No. Every session is live with your trainer. Live is how you learn best and how you stay part of a cohort.

Do I get a certificate?

Yes. You graduate as an Xcademia Certified Data Analyst, verifiable online at xcademia.com/verify, issued by a UK-registered company.

Can my employer pay?

Yes. We can invoice your company directly with a purchase order. Some UK employers may be eligible to contribute under the Government Skills Bootcamps route.

What is Career+?

Career+ is an optional premium add-on that gives you one month of focused career support after your bootcamp: a job search group, live interview support, and interview prep, plus a one-time repeat seat in a future batch. It is one month of support, not lifetime access, and not a job guarantee. Launch offer 799, normally 999.

Ready to join the next cohort?

Cohorts are kept small and focused so every learner gets live instructor time. Pay $349 registration to confirm your seat, or arrange a private batch for your team.

All bootcamps

Xcademia Ltd. Company No. 12322710 · UKPRN 10101097