Data Strategy

Dates:  8 Nov, 17 Nov, 20 Nov 2023 | 9am – 5.30pm | Classroom Learning

Duration: 3 Days

Course Overview

With the increased production of data and the storage and availability of digital data, organisations have become more of a data business. By “data business”, organizations can make use of the data it has stored to make better decisions and improve its operations, or it can turn data into its additional business by monetizing the data it has. Big Data Analytics is no longer a “good to have” feature in any organisation’s suite of functions, it has become a “must have” activity. The key question has become “How could organizations turn Big Data Analytics into common practices?”. Focused on the understanding of Big Data Analytics, this course explores how organizations could use their well-captured data to strategize and reshape their organisations for greater benefits, productivity, and effectiveness.

This course is part of Professional Certificate in Data Strategy and Storytelling.

Course Objectives

Course will enable participants to:

  • Understand what big data is and how Big Data Analytics can help organizations achieve a competitive advantage.
  • Appreciate the benefits and insights that Big Data Analytics bring to the organizations.
  • Learn how to make strategic use of the data available in organizations.
  • Learn how to use data to improve business decisions and operations.
  • Learn how to monetize data to increase the organization’s revenue.

Who Should Attend

Data Analysts

Prerequisites

Diploma (or equivalent) with 3 years working experience, preferably in the IT industry

Course Convener

(Click their photos to view their short biographies)

eeeee Samantha Sow

Ms Samantha SowMs Samantha Sow

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Codes
TGS-2022012359 (Classroom Learning)
TGS-2022012366 (Synchronous e-learning) 

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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