About Course
A theory-led examination-preparation course for KASNEB CA35P Business Data Analytics. Tutor LMS provides concepts, methods, worked explanations and knowledge checks; the DatalytIQs Analytics Lab provides spreadsheet practice, practical submissions, feedback and competency evidence.
KASNEB CA35P Business Data Analytics preparation
This DatalytIQs Academy course supports learners preparing for CA35P Business Data Analytics (Practical Paper). It provides structured learning around the course curriculum and applied business-data-analysis practice.
Who this course is for
- KASNEB candidates preparing for CA35P
- CPA learners developing Business Data Analytics capability
- Candidates seeking structured practical-paper preparation
- Learners strengthening applied business analytics skills
What you will explore
- Explore Module 1 — CA35P Orientation and Analytical Workflow.
- Explore Module 2 — Data Preparation and Spreadsheet Controls.
- Explore Module 3 — Analytical Tables, PivotTables and Decision Functions.
- Explore Module 4 — Descriptive Statistics and Data Visualisation.
- Explore Module 5 — Sampling, Probability and Statistical Inference.
- Explore Module 6 — Relationships, Regression and Forecasting.
- Explore Module 7 — Dashboards, Reporting and Data Governance.
- Explore Module 8 — Integrated CA35P Revision and Mock Practical.
Course curriculum
The current Tutor LMS curriculum contains the following learning areas and activities.
Module 1 — CA35P Orientation and Analytical Workflow
Module 2 — Data Preparation and Spreadsheet Controls
Module 3 — Analytical Tables, PivotTables and Decision Functions
Module 4 — Descriptive Statistics and Data Visualisation
Module 5 — Sampling, Probability and Statistical Inference
Module 6 — Relationships, Regression and Forecasting
Module 7 — Dashboards, Reporting and Data Governance
Module 8 — Integrated CA35P Revision and Mock Practical
- Integrated mock-practical strategy and time management
- CA35P examination structure and competency expectations
- Frame business questions and plan the analytical workflow
- Data types, validation and spreadsheet-ready structures
- Clean, reconcile and document transformations
- Conditional aggregation and lookup functions
- PivotTables, calculated fields and decision interpretation
- Measures of centre, spread and position
- Select and critique evidence-led visualisations
- Sampling designs, bias and probability logic
- Confidence intervals and practical hypothesis testing
- Correlation, regression and responsible interpretation
- Time patterns and transparent forecasting
- KPI architecture and accessible dashboard design
- Decision-ready reporting, ethics and data governance
- Mock practical quality review and Analytics Lab submission
Learning with DatalytIQs
DatalytIQs Academy connects structured learning with applied analysis, evidence-based thinking and professional practice. Use the course curriculum and learning activities as your primary pathway through this course.
CA35P preparation note
DatalytIQs Academy is an independent learning provider. This preparation course is not presented as an official KASNEB course or endorsement. Candidates should use current KASNEB publications and instructions as the authoritative source for examination requirements and registration.
Course Content
Module 1 — CA35P Orientation and Analytical Workflow
Module 2 — Data Preparation and Spreadsheet Controls
Module 3 — Analytical Tables, PivotTables and Decision Functions
Module 4 — Descriptive Statistics and Data Visualisation
Module 5 — Sampling, Probability and Statistical Inference
Module 6 — Relationships, Regression and Forecasting
Module 7 — Dashboards, Reporting and Data Governance
Module 8 — Integrated CA35P Revision and Mock Practical
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