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Co-Branding ACCA – IAI on Certificate in Data Analytics (CertDA).

14 April 2021 - Info IAI


With more access to the range and amount of information available including the increased availability of data and analytical resources has provided substantial opportunities for the finance feature. Individuals and organizations will benefit from the data management and development of large volumes of data into more strategically aligned decision-making models. Therefore, there is an increased need for a reliable Data Analytic Certificate with a global standard such as ACCA Certificate in Data Analytics. 

IAI (Institute of Indonesia Chartered Accountants) seen this as a pressuring demand to develop the right skills for Indonesian accountants. The CertDA respond to the above demand and challenges by Including real practical business examples for developing an understanding of data analytics and data modelling where Learners will learn about big data, sources of data, types of analytics and become familiar with the range of tools and techniques. Learners will also learn about the need to be sceptical and ethical when working in the data analytics field.

ACCA CertDA Benefit 

  1. Flexible you can fit around your life and work
  2. Cost effective way to upskill and achieve your CPD/ SKP
  3. Up to date, interactive online
  4. Get the best of both worlds. Gain a qualification that is nationally recognized by IAI and globally by ACCA.

Key learning outcomes

  • Explaining how to use commercial awareness to articulate business questions
  • Identifying and manipulating relevant data and deeply analysing such data by applying appropriate techniques.
  • Explaining how findings from analysis can and should be visualised and communicated, enabling relevant stakeholders to make sound business decisions
  • Learning and understanding ethical security issues around data analytics

Topics covered by the certificate

  • The certificate is divided into 10 units, covering the following:

Course unit

Learning topics

1: The CRISP framework for data analytics

a) Business understanding
b) Data understanding
c) Data preparation
d) Data modelling
e) Data evaluation
f) Deployment

2: Big data and data analytics

a) What is big data?
b) The 3 Vs of big data
c) The value and lessons to be learned from big data

3: Sources of data

a) Interal
b) External

4: Types of analytics

a) Descriptive analytics
b) Predictive analytics
c) Prescriptive analytics

5: Data analytics methodologies

a) Robotics
b) Artificial intelligence
c) Machine learning

6: Mainstream tools and key applications of data analytics

a) Tool and applications for descriptive analytics
b) Tools and applications for predictive analytics
c) Tools and applications for prescriptive analytics

7: Data visualisation and communication

a) What is data visualisation?
b) The purpose of data visualisation
c) The benefits of data visualisation
d) The history of data visualisation
e) Types of visualisation - comparison
f) Types of visualisation - composition
g) Types of visualisation - relationship
h) What makes good visualisation?

8: Scepticism in data analytics

 

9: Ethical considerations in the use of data

 

10: End of units data analysis activity

 


First Batch of CertDA will open on May 2021. Register yourself!

Join our CertDA Certification and Preparation Course

Online Registration:

More information:
Faizah Faisal
faizah.faisal@iaiglobal.or.id