Data modeling is a technique for identifying and assessing the data requirements for supporting business activities within the context of an organization's information systems. It involves collaboration among data experts and business stakeholders as well as potential information system users. Data models are essential for bringing together all segments of an enterprise, including IT, business analysts, management, and others, to cooperatively design information systems. A comprehensive data model is the key to the development of functional, useful, secure, accurate databases that ultimately improve the productivity of human resources and thus their organizations.

No organization can ignore the importance of data today, especially when it comes to improving productivity through measurement metrics based on accurate data. Extracting such data in the most efficient way enables data-driven decision-making. Managers’ and policymakers’ decisions are increasingly based on data-driven models and analyses using various statistical and optimization methods, which have altered the way we do business.

This e-course will explore the fundamental concepts of data modeling to develop systematic frameworks for decision-making in a dynamic, data-driven setting. It will also address how to use historical as well as real-time data to design fundamental models, optimization methods, and tools to help solve decision problems. These methods can increase productivity and efficiency based on traditional as well as cloud-based data-modeling techniques.

Course Objectives

The main objectives of this course are:

Course Modules

This e-learning course will cover the following modules: 
Module 1: Introduction to data modeling 
Module 2: Data modeling, big data, and examples 
Module 3: Data modeling and data analysis 
Module 4: Data analysis and intelligence 
Module 5: Data modeling for productivity improvement and decision-making

Important Notes:

1. Participants who register to take this course and pass the final examination with a score of 70% or higher will be eligible to receive the APO certificate. Please note that the final examination can be taken only once. Therefore, the most appropriate time to take the examination should be chosen carefully. The self-assessment quizzes are for personal evaluation only and are not related to the final examination results.
2. Participants who perform well in this course and receive the APO certificate will be given preference, on a merit basis, for selection to attend follow-up face-to-face multicountry APO projects on similar topics, when nominated by their NPOs and if slots are available.
3. Notes 1 and 2 are applicable only to participants from APO member countries. Participants from nonmember countries are welcome to take the course for self-improvement, although they will not have an opportunity to attend the follow-up face-to-face multicountry APO projects.
4. Each module is in a prerecorded video format in which the expert delivers presentations by explaining each slide. Participants can access the video by clicking on the link provided under the title of each module.