This course covers the foundations of data analytics and how to conduct and apply this to projects in your organization.
By completing this course, you will be in a better position to ask the right questions, add greater value, and improve the quality of services to your stakeholders.
This program is offered in partnership with ICMA Digital, the digital skills development arm of the Institute of Cost & Management Accountants in Pakistan (ICMA Pakistan). ICMA Digital Academy Limited is incorporated in the United Kingdom. ICMA Digital’s mission is to develop a job-ready workforce of the future with globally in-demand digital skills.
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Upon successful completion of the programme, you’ll earn a Continuing Professional Development (CPD) Certificate in Data Analytics for Accounting Professionals from ICMA Digital Academy.
Simultaneously, you will also earn a certificate in Introduction to Data Analytics for Accounting Professionals jointly issued by Coursera and AICPA & CIMA.
All certificate images are for illustrative purposes only and may be subject to change at the sole discretion of ICMA Digital Academy and Coursera / ICMA & CIMA.
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STUDY MODEL
Online with a live learning coach
ACCREDITATION
AICPA & CIMA / Coursera,
ICMA Digital
DURATION
7 hours over 3 days
ELIGIBILITY
Qualified Accountants
University Graduates in Business/Accounting
FEES – (USD)
100
The Introduction to Data Analytics for Accounting Professionals consists of three sessions spread over 3 days as follows:
What does it mean to have a data-driven mindset?
Having the right mindset will allow you to understand the problem that needs to be solved and make or recommend appropriate data-driven decisions in the context of the organization’s strategy and technologies.
What are the key considerations when identifying, establishing, and implementing a data analytics project?
This session introduces and discusses important data analytics concepts and considerations. This includes everything from framing the problem and defining the scope, to understanding organizational requirements and gaps, to effectively working with key stakeholders.
What is the required technical knowledge you need so that you can understand data?
Whether the data you’re looking at is financial or non-financial data, structured or unstructured, you need to understand the language of data analytics so that you can communicate effectively with colleagues and add value when using data analytics in your organization.
Course 1: Introduction to
Data Analytics & Visualization
Course 2: Accounting Data
Analytics with Python
Course 3: Machine Learning
for Accounting with Python
