About Course
Course Structure
Entry Requirements
Financial Matters
About Course
Course Objectives
By the end of the course, participants will be able to:o Perform data preparation, manipulation and wrangling with the R programming language
o Understand the statistics used to analyse data
o Create insightful data visualisations using R and Tableau
o Apply machine learning algorithms for predictive analysis, validate models and tune metrices to evaluate models
o Apply the design thinking mindset for data science projects
o Build data science projects supported by strategies for decision intelligence
Course Description
This course aims to provide full capability with emphasis on employability in Data Science field.Trainer's Profile
Zhang Ziwei
Zhang Ziwei’s domain of expertise lies in Marine Naval Architecture and Data Analytics.Ziwei presently serves as a trainer at Ngee Ann Polytechnic within the School of Engineering's Mechanical Engineering Division, specializing in Marine & Offshore courses. Her teaching primarily revolves around software applications, including AutoCAD, NAPA, AVEVA, SM3D, MOSES, and CADMATIC. Additionally, Ziwei is involved in Data Analytic projects, focusing on Tableau Dashboards, and also plays a key role in teaching the Personalized Learning Pathway at Ngee Ann Polytechnic, which includes a minor in Data Analytics utilizing Tableau and Python
Course Structure
TPG course reference No.
TGS-2022012590
(SCTP) [Data Science Bootcamp] (Classroom, Synchronous & Asynchronous e-learning)
Entry Requirements
Condition 1
Highest qualification
Polytechnic Diploma; Polytechnic diploma (NP)or
Highest qualification
Polytechnic Diploma; Polytechnic diploma (TP)or
Highest qualification
Polytechnic Diploma; Polytechnic diploma (SP)or
Highest qualification
Polytechnic Diploma; Polytechnic diploma (NYP)or
Highest qualification
Polytechnic Diploma; Polytechnic diploma (RP)or
Highest qualification
Bachelor's Or Equivalent and
Condition 2
Working experience
Full-time; Information Technology & Other Information Services; Duration: 1 yearFinancial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | (SCTP) [Data Science Bootcamp] (Classroom, Synchronous & Asynchronous e-learning) | Total course fee |
|---|---|---|
| Full Course fee | $19,440.00 | $19,440.00 |
| Additional course fee funding support | $1,332.00 | $1,332.00 |
| SkillsFuture Mid-Career Enhanced Subsidy | $2,232.00 | $2,232.00 |
| SkillsFuture Baseline Funding for Singapore Citizen aged below 40 | $5,832.00 | $5,832.00 |
| SkillsFuture Baseline Funding for SPR | $5,832.00 | $5,832.00 |
GST rate
The course fees payable above are inclusive of 8% GST rate.
Payment option
The first payment needs to be made after accepting the offer.
Allowed payment by
The course fee allows to be paid 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).
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 given 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 given if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be given if the withdrawal request is submitted on or after the course start date.