(Online Learning via SCI ONLINE Global Classroom.)
This certificate aims to provide participants with an understanding of data, the use of both data and data analytics in insurance and selecting appropriate techniques and tools to extract data.
Additionally, participants will understand the sufficiency and organisation of data required for data analysis and how data is being consolidated to ensure appropriateness of data quality.
Participants can also explore and understand the fundamentals of data storytelling.
Click here for details about the App and also the Learner's Guide
Please Note : If you fail to complete the requirements within the one-month access period, you will have to re-register and pay the first-timer fee again.
Please note that it is the candidate's responsibility to monitor his or her own access period for meeting the online learning and assessment completion requirements accordingly. SCI WILL NOT send any notification to remind the candidate in this respect.
Access to the online contents is immediate after confirmation of payment receipt. Should you encounter login issues, please try again a few hours later. Your progress will also be tracked by SCI.
For those seeking a basic understanding on Data and Data Analytics
1. 30 Multiple Choice Questions (MCQ).
2. Accessible on the platform after completion of the contents.
3. Assessment is in English.
Online learning programmes are NOT ELIGIBLE for refund and cancellation once payment has been made.
1. Complete all the contents, including videos and quizzes.
2. Score at least 70% for the 30-MCQ assessment.
By the end of the course, participants should be able to:
Appreciate the fundamentals of data and use of data in insurance
Select appropriate techniques and consolidate data based on defined data requirements
Ensure sufficiency and adequacy of data required for data analysis needs
Organise collected data for analysis
Understand ways to conduct preliminary analysis of data for review and verification
Describe the usage of analytics in decision-making in business
Explain the difference between Data, Information, and Knowledge
Describe the role of data warehouses in decision-making
Identify what Business Intelligence and Business Analytics is
Briefly list the traditional technology platform used for business analytics
Understand business problem, audience needs and objectives for story telling
Select appropriate visualisation techniques and information displays to convey data and findings
Organise the presentation of data to reflect trends and correlations
Incorporate appropriate elements to create informative and dynamic data displays
Communicate limitations of data and interpretations of findings
Understand the Use of Data Analytics for Ratemaking, Reserving and Risk Controls
Describe data trends and patterns ways suited to the audience’s level of understanding
Understand Big data and modern data analytics in Insurance
Access provided for 1 month from confirmation of payment receipt.
SCI Online Global Classroom
Registration will close once all available places have been filled.
Fee Per Participant
(Inclusive of prevailing GST rate)
*The SCI Member Company fee will apply to employees and/or agents of companies being former contributors of the Association for Insurance Advancement or donors of the SCI Building Fund.