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Become a Data Analyst
Learn practical Data, Analytics and AI skills—then build the evidence to use them professionally.
Develop capabilities that can support opportunities across the growing analytics profession. Compensation varies by role, location and experience.
Prepare for relevant Microsoft certification pathways while building practical Power BI evidence.
Strengthen your CV, LinkedIn, portfolio, interview skills and job-search approach.
Independent proof
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A complete learning ecosystem
A structured progression
Every stage moves you closer to credible professional evidence—not another folder of unwatched lessons.
Build the foundations
Complete guided exercises
Solve business scenarios
Develop your portfolio
Prepare for credentials
Build CV and LinkedIn
Practise interviews
Start your job search
Modern analyst toolkit
Develop a connected workflow across spreadsheets, business intelligence, databases, code and responsible AI.
Portfolio evidence
Build projects around industry-inspired scenarios, progressing from guided exercises to portfolio-quality business cases.
Turn fragmented sales data into a clear view of revenue, targets and regional performance.
Data modelling · KPI design · Executive storytellingExplore operational patterns in a realistic, anonymised healthcare scenario.
Data quality · Trend analysis · Clear communicationIdentify meaningful customer groups and translate analysis into commercial recommendations.
Exploration · Segmentation · Recommendation designAnswer a set of commercial questions from a relational dataset under interview-style constraints.
Joins · CTEs · Analytical reasoningMicrosoft certification pathway
Prepare for relevant Microsoft certification pathways alongside practical Power BI training. Certification targets, exam fees and booking arrangements are confirmed with the admissions team.
Mastery Nexus does not claim to be Microsoft. Microsoft trademarks belong to their respective owner.
Career accelerator
Career preparation is part of the programme—not a footnote after the final module.
Clarify your background, transferable skills, target role and development priorities.
Shape an ATS-friendly CV, a focused LinkedIn profile and a coherent professional story.
Select your strongest work and learn to explain the question, method, decision and result.
Practise technical, behavioural and case-study interviews with structured feedback.
Build a repeatable approach to role discovery, networking, applications and follow-up.
Eligible learners can access an enhanced support pathway. Criteria and programme terms apply.
Enhanced career pathway
Eligible learners can join our Job Guarantee Program and receive structured support from training through job preparation.
Designed to meet you where you are
Build your first professional analytics skill set.
Translate previous experience into a credible data-career story.
Add analytics and AI capability without leaving your current job.
Start from fundamentals with a structured learning path.
Eight connected modules
Build from business foundations through Power BI, SQL, Python, statistics, AI and career preparation.
Clean, analyse and communicate business data with formulas, lookups, PivotTables and dashboards.
Turn raw data into decision-ready models, measures and executive dashboards.
Query relational databases and answer practical business questions with confidence.
Use Python to clean, explore, visualise and automate analytical work.
Apply the statistical reasoning analysts use to interpret evidence and uncertainty.
Questions, answered
Still unsure? The career team can help you understand the programme, expectations and fit.
Yes. The programme starts with foundations and is designed for beginners, career starters and career switchers. Consistent practice is still essential.
No prior coding experience is required. SQL and Python are introduced progressively with guided practice.
Yes. The programme is designed around live, mentor-led online sessions supported by guided practice and independent project work.
Catch-up arrangements and access policies depend on the current cohort schedule. Ask the admissions team for the policy that applies to your intake.
The flagship Data Analytics + AI Career Program runs for five months.
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.
Yes. Career preparation is built into the learning journey and covers profile positioning, portfolio presentation, interviews and job-search strategy.
Take the next step
Speak with our career team and understand whether Data Analytics is the right path for you.