KASNEB Business Data Analytics – CPA Advanced Level

The Business Data Analytics (BDA) unit is one of the core papers offered at CPA (Certified Public Accountant) Advanced Level under the KASNEB (Kenya Accountants and Secretaries National Examinations Board) syllabus. It is a forward-looking and highly relevant course designed to equip learners with the technical and analytical skills required to interpret data for sound business and financial decision-making in a rapidly evolving digital economy.
In the modern business environment, data has become a key strategic asset. The BDA unit integrates principles of accounting, finance, statistics, and information technology to enable learners to collect, analyse, and communicate data-driven insights that enhance business performance, accountability, and value creation.
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Entry Qualification BDA
To qualify for registration and exams this paper, a candidate shall be required to have passed all other examination papers within the CPA qualification.
BDA Learning Objectives
By the end of the unit, candidates taking the BDA paper should be able to:
- Explain the concepts and principles of business data analytics.
- Collect, clean, and process data for business analysis.
- Apply statistical and analytical tools to interpret financial and non-financial data.
- Use visualization techniques to communicate insights effectively.
- Employ business intelligence tools to support decision-making.
- Observe data governance, privacy, and ethical standards in analytics practice.
BDA UNIT CONTENT
The BDA unit comprises of five key topics including:
- Introduction to Excel
- Introduction to data analytics
- Core application of data analytics
- Application of data analytics in specialized areas
- Emerging issues in data analytics
Ultimately, the BDA unit bridges the gap between traditional accounting functions and modern data analytics techniques. It prepares CPA candidates to handle large volumes of financial and operational data, extract meaningful insights, and make evidence-based decisions. Professionals who master this unit gain a competitive edge in the both in the public and private sectors in roles such as:
- Financial analysts
- Auditors
- Business intelligence officers
- Strategy consultants
Why Choose to Study BDA at RCM Online College
RCM Online College provides a comprehensive and results-oriented approach to the BDA course, ensuring that learners not only understand the concepts but also achieve excellence in the final practical examination.
Key Reasons to Study BDA at RCM Online College
- Qualified and Experienced Instructors
Learners are guided by highly skilled and technologically proficient tutors who simplify complex data concepts, making analytics practical, relevant, and easy to apply in real-world business contexts. - Comprehensive Learning Support
The College provides access to a wide range of learning resources, including live interactive Zoom classes, pre-recorded video lectures, and optional physical sessions for those who prefer face-to-face learning. - Proven Track Record of Success
RCM Online College has established a reputation for academic excellence. Students consistently perform exceptionally well in KASNEB examinations, a testament to the quality of instruction and commitment to learner success. - Flexible Learning Options
Learner’s benefit from a flexible study schedule that accommodates both working professionals and full-time students, ensuring a convenient and effective learning experience. - Affordable fees: The tuition fee for the BDA paper is Ksh 9,000.
RCM Online College remains committed to equipping students with the analytical and technological competencies required in the modern business environment. Enroll today and take a decisive step toward becoming a data-driven accounting and finance professional.
For further information or assistance about enrolling for BDA, please contact the RCM Online College help desk
Visit our website at https://www.rcmonlinecollege.co.ke/, email us at [email protected], call us at 0793555000/0719525000, or visit us at Stanbank House, 1st floor along Moi Avenue, Nairobi for clarification
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