Introduction to data analytics
Practise framing a data question, recognising common data types and understanding how analysis supports decisions.
NextLeap practical workbook
Practise the tools behind everyday data analysis
Work through practice tasks across Excel, SQL, Power BI, Tableau and Python, arranged as a guided path from data fundamentals to analysis and reporting.
A self-paced digital learning resource · UK pricing shown
NextLeap workbookLearn by doingPractice · Reflect · Build
NextLeap Education · Field guideDATA
ANALYTICSConcepts, examples and practice prompts
A structured learning companion
What you’ll explore
Use the chapters as a guided path: learn a concept, connect it to a realistic task, then check your understanding with practice.
Advanced Excel
Work with formulas, data cleaning, manipulation, visualisation and spreadsheet automation concepts.
SQL
Build familiarity with queries, filtering, grouping, joins, conditional logic and stored-procedure concepts.
Power BI
Follow a reporting workflow that includes importing data, transforming it, building reports and understanding DAX.
Tableau
Practise connecting to data, creating visualisations and designing dashboards around a brief.
Python for analysis
Explore Python foundations, data structures, NumPy, pandas, visualisation and introductory statistical analysis.
Build understanding at your pace
Made for learning through practice
Keep your learning focused with a mix of plain-language explanations, practical context and opportunities to apply each idea.
Build a clear mental model of the field before moving into more involved topics.
Relate key concepts to common workflows, decisions and workplace situations.
Use prompts to check understanding and identify the areas you want to explore next.
Helpful details
Frequently asked questions
Is this an online course?
No. It is presented as a self-paced e-book/workbook. It does not include live teaching or placement support.
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