Course Schedule
Duration: 180 hours
Delivery Mode: (Blended) Classroom, Synchronous & Asynchronous e-Learning
Schedule may be subject to changes. The detailed timetable will only be released upon enrolment and closer to the course commencement date.
For self-sponsored applicant, you may proceed to apply after signing in with Singpass / Student ID.
For company-sponsored applicant, please approach your company HR to put in the application via the company portal using Corppass at STEP.
About Course
Course Objectives
By the end of the course, participants will be able to:o Acquire information organisation and processing techniques efficiently
o Cleanse, prepare and manipulate data that will be useful for analysis
o Build data visualisations and dashboards using MS Excel to obtain insights and for reporting
o Perform data analytics using Excel tools and predict data using regression models
o Create automated data processes for organisations
Course Description
This course aims to provide advanced skills data analysis and data visualisations that allows learners to transit from a non analytical work function to a new job role in data analysis and reporting.Target Audience
This course is relevant for Administration Manager, Data Operations/Admin Executive, Admin Assistant, Data Entry, Data Curator.Trainer's Profile
Hui Kah Seng
Hui Kah Seng graduated from NTU School of Physical and Mathematical Sciences with a BSc in Mathematical Sciences, majoring in Statistics.Kah Seng has worked on various projects involving analytics, implementation, prediction, and optimisation. The projects covered industrial application, process flow optimisation, automation, prediction, and decision-making. He has worked with our National Water Agency in the field of water usage analytics prior to joining Ngee Ann Polytechnic.
In his time with NP, Kah Seng has helped kickstart departments’ analytics champions in their journey towards data-approached decisions, streamlining work processes with automation and reducing man-hours on tasks and processes. He was also involved in the implementation of the data-mart within NP and the usage of Tableau as the main analytical tool within the organisation. He has since embarked on CET courses, with successful runs using asynchronous materials that helped many adult learners bridge the gap on Data Analytics.
Karen Tan
Karen is a youth-adult education specialist with over a decade of experience in crafting and delivering transformative training programmes in the field of data science, engineering mathematics, and innovation. She is adept at leveraging a unique blend of industry expertise, engaging communication, and innovative teaching methods to drive participant success. Committed to inspiring and empowering individuals and teams to achieve their full potential.In Ngee Ann Polytechnic, Karen leads the Data Science Bootcamp for adult learners, teaches Design Thinking & Innovation to youths, and mentors multiple interdisciplinary team projects.
Outside of Ngee Ann Polytechnic, she is involved in diverse business and analytical projects, including analysing the Quality of Life of Singaporean Youths and Children in a Tableau tournament, enabling a research trial for an Autonomous Vehicle research project, investigating AI courseware and learning outcomes that prepare for the emerging industry needs, etc.
Karen holds an M.Sc. in Management of Technology (National University of Singapore) and a B.Eng. with honours in Mechanical Engineering (Nanyang Technological University). She is an ACTA-certified Adult Educator (Singapore Training & Development Association) and has received additional certifications such as the LUMA Practitioner certification, Data Champions Bootcamp (certified track) and Algoritma Design Science Train-the-Trainer for both Data Visualisation and Machine Learning Specialisations, etc.
Loh Wai Tuck
Loh Wai Tuck graduated from National University of Singapore with a Bachelor of Engineering (Electrical) and a Master of Technology (Software Engineering).Prior to teaching in the Polytechnic, Wai Tuck has 14 years of extensive experience in the software industry. He has worked in multiple IT projects (Geographical Information Systems, Office Automation projects and turnkey projects), undergoing the full software development life cycle. He was a senior consultant in Geographical Information Systems, and worked in countries like Singapore, Malaysia, Vietnam, Germany and England. Wai Tuck has also worked in the corporate risk & review management division; he has conducted independent reviews on software development projects to identify risks (financial and legal risks) in projects, monitoring the project costs and delivery milestones.
In Ngee Ann Polytechnic, Wai Tuck has taught various IT subjects (Database, Programming, IT applications like Photoshop and MS Office products) and Mathematics. In recent years, he has also taught short courses for adult learners in Data Science (using R programming language) and Data Analytics (using Excel, Tableau and R programming language) related courses. Wai Tuck was attached to GovTech Data Science & Artificial Intelligence division, where he was involved in data cleaning and data preparation using Python.
Philip Liau
Philip Liau is a trainer at the School of Interdisciplinary Studies, Ngee Ann Polytechnic. Philip worked as a quality engineer in electronics and aerospace industries prior to joining Ngee Ann in 1991. Being an educator for more than 30 years, Philip has taught diverse modules such as economics, statistical quality control, innovation and deisgn thinking. He is facinated with numbers and has a keen interest in data science. He is trained in data analytics in MS Excel, R and likes to use his knowledge to dabble with data and explore trends in the property market. Philip recently retired from full-time work in 2020.Terms & conditions
Terms & conditions details
Disclaimer
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Limitation of Liability
Ngee Ann Polytechnic assumes no liability or responsibility for any errors or omissions in the content of its website. You are using the website at your own risk. Under no circumstances shall Ngee Ann Polytechnic or any other party involved in creating, producing or delivering the contents of this website be liable to you or any other person for any direct, indirect, special, incidental or consequential damages arising from your access to, or use of, this website.
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These Terms of Use shall be governed and construed in accordance with laws of the Republic of Singapore.
The use of datasets that Ngee Ann Polytechnic publishes to the public free-of-charge (Open Data) will be governed by the Singapore Open Data Licence.
The Singapore Government may, from time to time, issue new versions of the Singapore Open Data Licence. Your continued Use of the datasets constitutes your acceptance of the new version of this Licence.
Course Structure
TPG course reference No.
TGS-2022012589
A Certificate of Attendance will be awarded to learner who meet the 75% attendance requirement.
Entry Requirements
Condition 1
Highest qualification
Completed at least a NITEC programmeCondition 2
Highest qualification
Completed GCE O Level (any subject)Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | (SCTP) [Advanced Data Analytics and Visualisation] (Classroom, Synchronous & Asynchronous e-learning) | Total course fee |
|---|---|---|
| Full Course fee | $10,900.00 | $10,900.00 |
| Additional course fee funding support | $770.00 | $770.00 |
| SkillsFuture Mid-Career Enhanced Subsidy | $1,270.00 | $1,270.00 |
| SkillsFuture Baseline Funding for Singapore Citizen aged below 40 | $3,270.00 | $3,270.00 |
| SkillsFuture Baseline Funding for SPR | $3,270.00 | $3,270.00 |
GST rate
Payment option
Allowed payment by
Post-Secondary Education Account (Adhoc withdrawal form);
Post-Secondary Education Account (Standing order form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.
Remarks
https://www.skillsfuture.gov.sg/careertransition
SkillsFuture Credit (SFC) can only be used to cover:
(i) Course fees payable;
(ii) Assessment fees which are part of the course;
(iii) Certification fees which are part of the course; and
(iv) GST imposed on components supported for SFC use.
Penalty charges apply if you:
(i) are absent/no-show;
(ii) withdraw from a course within 14 days of the course start date;
(iii) fail to meet terms and conditions for funding eligibility.
SFC cannot be used to offset penalty charges imposed by Ngee Ann Polytechnic.