Data Analytics @ Work 101

Analytics & Tech
Innovation & Business Improvement

Next Intake: 13 Jan 2025 (Mon)

Basic
SkillsFuture
Short Courses

This module is conducted in-person.

Next course starts on

13 Jan 2025 (Mon) See Full Schedule

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

2 days
Weekdays (9am - 5pm)

Level

Basic

Who Should Attend

Leaders seeking hands-on insight into the development and use of enterprise analytics in strategy or operations
Managers exploring how enterprise analytics may add value to their project, programme, and portfolio responsibilities
Professionals seeking to build enterprise analytics capabilities to enhance their current work or future career prospects

PREREQUISITES

There are no prerequisites for this programme. Prior knowledge on any of the topics is not required. Prior experience with Microsoft Excel at a basic/ foundational level will be useful but is not essential.

Overview

Using data analytics is a very effective way to have influence at the workplace. If you’re in a meeting and other people have opinions, but you have data to support your arguments and your recommendations, you’re going to be influential.

Enterprise Analytics – the use of data analysis and data science to drive what organisations do and how they do it – is now a fundamental skillset that is required to succeed in all sectors of advanced economies. As a result, we all face the challenge of developing an ability to design and execute “data driven” initiatives at the workplace.

This course is designed as a first step in a learning journey that will build these blended capabilities, covering the execution of specific analytics techniques alongside frameworks guiding the design of data driven initiatives. Taking a real-world case featuring challenges from Finance, Marketing, Service, Operations, and Strategy, this course will lead participants through a set of practical sessions providing an overview of the principal enterprise analytics techniques.

To delve further into the topic, participants may consider Data Analytics @ Work 201 after completing this course.

Learning Objectives

At the end of the 2-day course, participants will be able to:

Formulate a data-driven initiative using the CRISP and OKR techniques
Profile and mine data for insight using calculated measures
Use data visualisation techniques to reveal hidden patterns
Apply statistical techniques to understand systems
Create indicator metrics and indicators to guide strategic decisions
Forecast trends and create predictive models

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit: Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).
Workfare Skills Support Scheme: From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

Organisation must be registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million
Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
Trainees must be Singapore Citizens or Singapore Permanent Residents
Trainees must not be a full-time national serviceman
Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll