About Course
Course Schedule
Course Structure
Financial Matters
About Course
Course Objectives
Learners will be able to:• Use a tool to visually explore a dataset: import, sort, drill, filter etc
• Understand basic principles of data visualisation
• Identify and select appropriate graphs to visualise data
• Use appropriate libraries to design and create vi
• Customise graphs and plots
Course Description
The course covers the following:• Visualisation 101
• Qilkview basics
• Matplotlib basics
• Multi-dimensional data
• Introduction to Seaborn
• Customise Plot
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
Schedule
Duration: 3 days
Time: 9am to 6pm
Delivery Mode: Synchronous e-Learning
Venue: Live Online
Schedule may subject to changes. Detailed timetable will only be release upon enrolment and nearer to course commencement date.
Course Structure
TPG course reference No.
TGS-2021006413
Data Visualisation I (Synchronous e-learning)
Financial matters
Course fees payable (incl. GST & excl. supplementary fee)
| Description | Data Visualisation I (Synchronous e-learning) | Total course fee |
|---|---|---|
| Full Course fee | $1,744.00 | $1,744.00 |
| Enhanced Training Support for SMEs for Singapore Citizen | $203.20 | $203.20 |
| Enhanced Training Support for SMEs - SPR & LTVP+ | $203.20 | $203.20 |
| SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above | $203.20 | $203.20 |
| SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 | $523.20 | $523.20 |
| SkillsFuture Baseline Funding for SPR/LTVP+ | $523.20 | $523.20 |
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);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Post-Secondary Education Account (Adhoc withdrawal 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.