About Course
Course Structure
Financial Matters
About Course
Course Objectives
This 2-day programme provides a hands-on overview on 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.Participants will be able to manage and create data visualization for data exploration and analysis.
This program will be conducted through “learn by doing”. After short discussions, participants will be presented with an opportunity to try what they learnt using appropriate software tools.
Course Description
Section 1: Introduction to Analytics• Evolution of Analytics
• Descriptive, Predictive, Prescriptive Analytics
• Analytics and its impact on Enterprises and businesses
Section 2: Cleaning & Preparing Data
• Data Analytics
• Basics of Data
• Cleaning Data
• Joining Tables
Section 3: Introduction to Data Warehouse
• 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
Section 4: Star Schema and Multi-Dimensional Analysis
• Multi-Dimensional Cube
• Star Schema and its uses
• Slice and Dice
• Drill in and aggregation
• Pivot
• Creation of new measures
Section 5: Introduction to Machine Learning
• Machine Learning in Business
• Types of Machine Learning
• Supervised Learning vs Unsupervised Learning
Trainer's Profile
Mike Wee Toon Kim
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.
Course Structure
TPG course reference No.
TGS-2022013945
Analytics for Enterprises
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | Analytics for Enterprises | Total course fee |
|---|---|---|
| Full Course fee | $468.70 | $468.70 |
| Enhanced Training Support for SMEs for Singapore Citizen | $54.61 | $54.61 |
| Enhanced Training Support for SMEs - SPR & LTVP+ | $54.61 | $54.61 |
| SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $54.61 | $54.61 |
| SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $140.61 | $140.61 |
| SkillsFuture Baseline Funding for SPR/LTVP+ | $140.61 | $140.61 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The payment needs to be made upon the application is submitted.
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 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.