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MASTERYNEXUS

Become a Data Analyst

Build your data career with Mastery Nexus

Learn practical Data, Analytics and AI skills—then build the evidence to use them professionally.

  • Structured training for analytics and business intelligence roles
  • 40+ hands-on projects that build a practical portfolio
  • Mentor-led learning for beginners and career switchers
  • Career preparation from learning to interviews and applications

Speak with our career team

Become a job-ready Data Analyst with Mastery Nexus.

Flexible live online learning with guided career support.

5 monthsStructured programme
40+Practical projects
MicrosoftCertification pathway
LiveMentor-led classes
CareerSupport included

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Professional learning and collaboration

Build career-ready earning potential

Develop capabilities that can support opportunities across the growing analytics profession. Compensation varies by role, location and experience.

Professional learning and collaboration

Gain globally recognised certifications

Prepare for relevant Microsoft certification pathways while building practical Power BI evidence.

Professional learning and collaboration

Career support and job opportunities

Strengthen your CV, LinkedIn, portfolio, interview skills and job-search approach.

Speak with our career team

Find out whether the Data Analytics + AI programme fits your goals.

Flexible live online learning with guided career support.

Independent proof

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A complete learning ecosystem

Why learn with us?

  • 40+ practical projects
  • Clear path for beginners
  • Mentor guidance
  • Flexible live learning
  • Modern Data and AI skills
  • Portfolio reviews
  • Certification preparation
  • Interview preparation
  • CV and LinkedIn support
  • Job-search guidance
Explore the Programme
Professional reviewing work on a laptop

A structured progression

Your journey from beginner to job-ready

Every stage moves you closer to credible professional evidence—not another folder of unwatched lessons.

01
Learn

Build the foundations

02
Practise

Complete guided exercises

03
Build

Solve business scenarios

04
Show

Develop your portfolio

05
Certify

Prepare for credentials

06
Position

Build CV and LinkedIn

07
Prepare

Practise interviews

08
Apply

Start your job search

Modern analyst toolkit

Learn the tools. Understand the decisions behind them.

Develop a connected workflow across spreadsheets, business intelligence, databases, code and responsible AI.

ExcelPower BISQLPythonpandasNumPyGitHubAI tools

Portfolio evidence

Don’t just say you know analytics. Show it.

Build projects around industry-inspired scenarios, progressing from guided exercises to portfolio-quality business cases.

Project 01Interactive decision-ready dashboard

Executive Sales Dashboard

Turn fragmented sales data into a clear view of revenue, targets and regional performance.

Power BIDAXExcel
Data modelling · KPI design · Executive storytelling
Project 02Operational insight report

Healthcare Analytics

Explore operational patterns in a realistic, anonymised healthcare scenario.

SQLPower BI
Data quality · Trend analysis · Clear communication
Project 03Notebook and stakeholder presentation

Customer Segmentation

Identify meaningful customer groups and translate analysis into commercial recommendations.

Pythonpandas
Exploration · Segmentation · Recommendation design
Project 04Query pack with written findings

SQL Business Case

Answer a set of commercial questions from a relational dataset under interview-style constraints.

SQL
Joins · CTEs · Analytical reasoning
View Projects

Microsoft certification pathway

Build skills. Earn recognised credentials.

Prepare for relevant Microsoft certification pathways alongside practical Power BI training. Certification targets, exam fees and booking arrangements are confirmed with the admissions team.

  • Structured preparation
  • Exam-focused support
  • Practical Power BI experience
  • Revision resources
  • Mentor guidance

Mastery Nexus does not claim to be Microsoft. Microsoft trademarks belong to their respective owner.

Career accelerator

Training gets you started. Career support helps you move forward.

Career preparation is part of the programme—not a footnote after the final module.

01

Career Assessment

Clarify your background, transferable skills, target role and development priorities.

02

Professional Profile

Shape an ATS-friendly CV, a focused LinkedIn profile and a coherent professional story.

03

Portfolio Development

Select your strongest work and learn to explain the question, method, decision and result.

04

Interview Preparation

Practise technical, behavioural and case-study interviews with structured feedback.

05

Job Search

Build a repeatable approach to role discovery, networking, applications and follow-up.

06

Job Guarantee Programme

Eligible learners can access an enhanced support pathway. Criteria and programme terms apply.

Explore Career Support

Enhanced career pathway

Serious about your next career move?

Eligible learners can join our Job Guarantee Program and receive structured support from training through job preparation.

Explore Job GuaranteeEligibility criteria, participation requirements and programme terms apply.

Designed to meet you where you are

Who is this programme for?

01

Career Starters

Build your first professional analytics skill set.

02

Career Switchers

Translate previous experience into a credible data-career story.

03

Working Professionals

Add analytics and AI capability without leaving your current job.

04

Non-Technical Learners

Start from fundamentals with a structured learning path.

Eight connected modules

A curriculum built around how analysts work

Build from business foundations through Power BI, SQL, Python, statistics, AI and career preparation.

01Excel for Business & Data Analytics

Clean, analyse and communicate business data with formulas, lookups, PivotTables and dashboards.

  • Excel foundations
  • Data cleaning
  • Formulas and lookups
  • PivotTables
  • Business reporting
  • Dashboards
02Power BI

Turn raw data into decision-ready models, measures and executive dashboards.

  • Power Query
  • Data modelling
  • DAX
  • KPI design
  • Visualisation
  • Business storytelling
03SQL

Query relational databases and answer practical business questions with confidence.

  • SELECT and filtering
  • Aggregation
  • Joins
  • Subqueries
  • CTEs
  • Analytical SQL
04Python for Analytics

Use Python to clean, explore, visualise and automate analytical work.

  • Python foundations
  • pandas
  • NumPy
  • Data cleaning
  • Exploratory analysis
  • Automation
05Statistics & Probability

Apply the statistical reasoning analysts use to interpret evidence and uncertainty.

  • Descriptive statistics
  • Probability
  • Distributions
  • Sampling
  • Hypothesis testing
  • Correlation
View Full Curriculum →

Questions, answered

What learners ask before they begin

Still unsure? The career team can help you understand the programme, expectations and fit.

Can a beginner join?

Yes. The programme starts with foundations and is designed for beginners, career starters and career switchers. Consistent practice is still essential.

Do I need coding experience?

No prior coding experience is required. SQL and Python are introduced progressively with guided practice.

Are classes live?

Yes. The programme is designed around live, mentor-led online sessions supported by guided practice and independent project work.

What happens if I miss a class?

Catch-up arrangements and access policies depend on the current cohort schedule. Ask the admissions team for the policy that applies to your intake.

How long is the programme?

The flagship Data Analytics + AI Career Program runs for five months.

What projects will I build?

You will work through 40+ guided and portfolio-focused activities using real-world business scenarios across Excel, Power BI, SQL, Python and AI-assisted analytics.

Is career support included?

Yes. Career preparation is built into the learning journey and covers profile positioning, portfolio presentation, interviews and job-search strategy.

View all FAQs →

Take the next step

Your next career chapter can start here.

Speak with our career team and understand whether Data Analytics is the right path for you.