cpa-business-data-analytics-syllabus-provisional-version
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DATE 06 Dec 2025
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notes
About This Document
Document Type: This is a Exam Paper, designed for Testing knowledge and exam technique.
Context: Core educational material suitable for current academic requirements.
Key Content: Likely covers essential definitions, structured questions to test your proficiency.
Study Strategy: Attempt these questions under timed conditions to simulate a real exam environment, then check against your notes.
Recommendation: comprehensive resource for students aiming to achieve top grades in their final assessments.
Detailed Content Overview
Introduction
This notes resource titled "cpa-business-data-analytics-syllabus-provisional-version" provides comprehensive exam preparation materials designed to test and enhance your understanding. This resource is structured to facilitate effective learning and retention of important information.
Key Topics Covered
Learning Objectives
- Master key concepts required for examination success
- Practice answering exam-style questions effectively
- Develop time management skills for timed assessments
- Identify and address knowledge gaps in understanding
Detailed Summary
CPA ADVANCD LEVEL PRACTICAL PAPER NO. CA 35P: BUSINESS AND DATA ANALYTICS (COMPUTER-BASED EXAMINATION). NOTIONAL HOURS: 240 Recommended tool: Excel, R UNIT DESCRIPTION This course is aimed at enabling the candidate to use information technology to support decision making through business analytics. The candidate is expected to demonstrate digital competency in preparation and analysis of financial statements, forecasting and related areas in data analytics. PREREQUISITE To attempt this paper, a candidate shall be required to have passed all other examination papers within the CPA qualification. Candidates will be required to have core knowledge of quantitative techniques, financial accounting and reporting and financial management. Candidates are also expected to have knowledge in their specialisation areas of management accounting, audit, tax and public financial management. The paper will be attempted over three hours in a controlled, computerized environment (examination centres with computer laboratories). 0 LEARNING OUTCOMES A candidate who passes this paper should be able to: - Discuss fundamental aspects of big data and data analytics from the CRISP (crossindustry standard process for data mining) framework, data visualisation and emerging issues.
Study Tips & Recommendations
Time Management
Practice under timed conditions to improve speed and accuracy. Allocate specific time limits to each section.
Active Practice
Attempt all questions before checking answers. Review mistakes to understand where improvements are needed.
Mark Scheme Review
Study marking schemes carefully to understand how examiners award points and structure your answers accordingly.
Regular Review
Schedule periodic reviews to reinforce learning and combat forgetting. Use spaced repetition for optimal retention.
Content Preview
CPA ADVANCD LEVEL PRACTICAL PAPER NO. CA 35P: BUSINESS AND DATA ANALYTICS (COMPUTER-BASED EXAMINATION). NOTIONAL HOURS: 240 Recommended tool: Excel, R UNIT DESCRIPTION This course is aimed at enabling the candidate to use information technology to support decision making through business analytics. The candidate is expected to demonstrate digital competency in preparation and analysis of financial statements, forecasting and related areas in data analytics. PREREQUISITE To attempt this paper, a...
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