Last Updated Date:	02/02/2023
Level of Programme:	Introductory

Programme Highlights

(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.

TARGET AUDIENCE
For those seeking a basic understanding on Data and Data Analytics

ASSESSMENT
1. 30 Multiple Choice Questions (MCQ).
2. Accessible on the platform after completion of the contents.
3. Assessment is in English.

REFUND POLICY
Online learning programmes are NOT ELIGIBLE for refund and cancellation once payment has been made.

COMPLETION REQUIREMENTS
1. Complete all the contents, including videos and quizzes.
2. Score at least 70% for the 30-MCQ assessment.

Learning Objectives

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

Fee Per Participant

*Course Fee	S$108.00 (Inclusive of prevailing GST rate)