KASNEB DD24 Quantitative Modelling Skills: A Practical Guide to Exam Preparation

A practical introduction to the KASNEB DD24 Quantitative Modelling Skills Theory Companion, including key concepts, worked examples, quizzes and revision strategies.
Young Data Scientists — Schools

A supervised school pathway with 11 lessons and an eight-question final assessment. Learners explore fictional library-loan records, create checked tables and charts, try a small Python analysis and prepare a decision brief.
CA35P Practical Paper Preparation: Building a Business Data Analytics Workflow
Strengthen CA35P practical-paper preparation by practising structured business data analytics workflows from data review to interpretation.
How to Prepare for KASNEB CA35P Business Data Analytics
Build a structured preparation approach for KASNEB CA35P Business Data Analytics while using current KASNEB materials as the authoritative examination source.
Management Information Systems for Better Organisational Decisions
Learn how management information systems can provide reliable, timely and decision-relevant information for organisational leadership.
Digital Transformation and Data Governance: What Executives Need to Know
Understand why digital transformation depends on data governance, accountability, information quality and decision-focused systems.
How School Bursars Can Improve Spreadsheet Data Quality
A practical guide for school bursars on improving spreadsheet data quality through validation, reconciliation, documentation and controlled workflows.
Using Excel for School Financial Management in Kenya
Explore practical ways school bursars and finance staff in Kenya can structure Excel workbooks for accurate records, reporting and review.
Results Chains, Indicators and Learning: A Practical MERL Guide
Learn how results chains, indicators and learning processes fit together in a practical monitoring, evaluation, research and learning system.
Monitoring vs Evaluation: Differences, Uses and How They Work Together
Understand the difference between monitoring and evaluation, the questions each addresses and how they work together in evidence-informed programmes.