Data Analytics Begins With Me

TGS-2020506065

Faculty of Science (FOS)

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Objectives

The programme provides the participant with the knowledge and skills to participate in the organisation’s data analytics process without any coding requirements. We will cover basic concepts of data analysis, processing of data, and visualization of raw data and processed data to gain insights, followed by building simple models for classification and prediction. The participant will also learn to use the free and open source data analytics tool – Orange – a powerful and popular Python-based data analytics tool. Orange has a point-click-drag-and-drop GUI, no programming is required.



Who Should Attend

This course is designed for business owners, Managers and Professionals who desires to acquire basic understanding of how advanced analytics is shaping Industry 4.0 and how they can be harnessed for their work.




Entry Requirements

Nil




Class Schedule

Please click here



Tutorial Schedule

Same Day as Lecture




Lesson Delivery

a) Facilitated Learning: 6 hours b) Assessment: 1 hour




Full Fees (before GST)

S$850.00




Nett Fees payable after SSG Funding



International Participant Singapore Citizen 39 years old or younger Singapore Citizen 40 years or older eligible for MCES Singaporean PRs Enhanced Training Support for SMEs
Full Programme Fee S$850.00 S$850.00 S$850.00 S$850.00 S$850.00
SSG Funding *
Eligible for Claim Period 1 Jul 2021 to 30 June 2024
- S$595.00 S$595.00 S$595.00 S$595.00
Nett Programme Fee S$850.00 S$255.00 S$255.00 S$255.00 S$255.00
8% GST on Nett Programme Fee S$68.00 S$20.40 S$20.40 S$20.40 S$20.40
Total Nett Programme Fee Payable, Incl. GST S$918.00 S$275.40 S$275.40 S$275.40 S$275.40
Less Additional Funding if Eligible Under Various Scheme - - S$170.00 - S$170.00
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes S$918.00 S$275.40 S$105.40 S$275.40 S$105.40
*   Learners must fulfill at least 75% attendance and pass all assessment components, to be eligible for SSG funding.
** Please note that all external funding for courses is limited in duration and subject to availability.

*** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Upcoming Course Dates
11/08/2023

Delivery Mode**
Face-to-Face

Course Code
FOS-DABWM

Funding Type
SSG Funding
Alumni eVoucher (L3)
Alumni eVoucher (R&G)

Type
Short Course

Stacks/ Bundles to
NA

Audit/Graded
Graded only

Area of Interest
Data Analytics