Course Information
Use data-driven analysis and prediction as part of your decision-making process for better business outcomes.
Learning Outcomes
This 2-day programme provides a hands-on overview of analytics that demonstrates how companies and managers use data-driven analysis and prediction as part of their decision-making process, leading to better business outcomes.
- Introduction to Analytics
- Cleaning & Preparing Data
- Introduction to Data Warehouse
- Star Schema and Multi-Dimensional Analysis
- Introduction to Machine Learning
Course
Schedule
Course Date: TBC
Application Period: TBC
Duration: 2 days
Time: 9am to 6pm
Delivery Mode: Synchronous e-Learning
Venue: Online
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Lesson Plan
- Evolution of Analytics
- Descriptive, Predictive, Prescriptive Analytics
- Analytics and its impact on Enterprises and businesses
- Data Analytics
- Basics of Data
- Cleaning Data
- Joining Tables
- Traditional approach to reporting and its associated challenges
- Spreadsheet and its associated challenges
- Rise of new generation of analytics platform and the democratization of data
- Introduction to Data Warehousing and its relationship to Business Systems
- Multi-Dimensional Cube
- Star Schema and its uses
- Slice and Dice
- Drill in and aggregation
- Pivot
- Creation of new measures
- Machine Learning in Business
- Types of Machine Learning
- Supervised Learning vs Unsupervised Learning
Trainer's Profile
Mike Wee is an experienced IT professional with over 20 years of expertise in deploying, supporting, and teaching enterprise systems. Throughout his career, he has worked with leading global companies such as BMW, Mercedes-Benz, and HP, leveraging his knowledge in enterprise computing to drive significant technological advancements and operational efficiencies.
Mike's key domain areas encompass a wide range of critical IT functions, including Enterprise Computing, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Analytics, Data Visualisation, Machine Learning, SAP, Salesforce, PowerBI, Tableau, and Python. His multifaceted skill set enables him to provide comprehensive solutions that meet the complex needs of modern businesses.
Educationally, Mike Wee holds a Master’s Degree in Business Administration (MBA) from Nanyang Business School, Nanyang Technological University (NTU), and a Master of Education (MEd) from the University of Adelaide. He also possesses a Bachelor’s Degree (Honors) in Mechanical Engineering from NTU. Complementing his academic achievements, Mike is certified in Advanced Certificate in Training and Assessment (ACTA) and is a certified Scrum Master, underscoring his commitment to continuous professional development and excellence in project management.
Mike's extensive experience and diverse skill set make him an asset in the IT field. His proficiency in cutting-edge technologies and enterprise systems has enabled numerous organisations to achieve their strategic goals through effective IT solutions and innovative approaches. Whether it's through enhancing operational capabilities or teaching the next generation of IT professionals, Mike consistently demonstrates a passion for technology and a dedication to excellence.
Certification
Entry Requirements
-
Anyone who is looking to use data analytics in their work
-
Applicants preferably be Computer Literate with basic knowledge in MS Office.
-
Participants are to bring their own Microsoft Windows 10 laptop computer with recommended specification of Dual Core 1.8GHz 64-bit and 8 GB RAM.
Course Fees
Funding period for this course is from 17 Apr to 31 Dec 2024.
SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory.
Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
Enhanced training support for SMEs
For enhanced training support for SMEs, enter SME in the promo code during course application.
Long Term Visit Pass Plus (LTVP+) holders, please furnish the following documents to the course administrator to qualify for SSG funding:
Self-sponsored learner (LTVP+): Copy of your green visit pass card, with the word ‘PLUS’ on the back of the card.
Co-sponsored learner (LTVP+): Copy of valid and current Letter of Consent (LOC) from MOM
GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024.
Note:
- The fees below are determined based on prevailing funding policies and subject to review and revision.
- Please refer to our FAQs for more information.
Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.
| Applicants / Eligibility | Fees |
|---|---|
| Full Course Fee | $468.70 |
| Singaporeans aged below 40 qualified for SkillsFuture Funding | $140.61 |
| Singaporeans aged 40 & above qualified for SkillsFuture Mid-Career Enhanced Subsidy | $54.61 |
| Singaporeans qualified for Enhanced Training Support for SMEs | $54.61 |
| Singapore Permanent Residents & **LTVP+ qualified for SkillsFuture Funding | $140.61 |
| Singapore Permanent Residents & ##LTVP+ qualified for Enhanced Training Support for SMEs | $54.61 |
| Others (and Repeat Students) | $468.70 |