This full-day training program is tailored for participants who have prior experience using Tableau and are proficient in the following tasks:
- Connecting to data sources
- Navigating the Tableau interface
- Creating basic visualisations
- Using features such as filter usage, parameter controls, and calculated fields
- Creating a basic Tableau dashboard
Participants are encouraged to attend WD012 to obtain the basic proficient.
Laptop and Software Installation
This class places strong emphasis on hands-on learning to create visual analytics. To optimize the learning experience, it is mandatory for all participants to bring with them a laptop, pre-installed with the latest version of Tableau Public (https://public.tableau.com/en-us/s/download) and Microsoft Excel.
Programme Objective
In today's data-driven world, the ability to navigate multiple data sources and transform them into actionable insights is invaluable. This course offers participants an opportunity to deepen their expertise in data analysis by using Tableau, a leading business intelligence tool. Participants will learn how to harness diverse data sources to enable them to perform sophisticated calculations, and design compelling visualisations and dashboards to support strategic decision-making processes.
Programme Outline
- Working with Diverse Datasets and Blending Data from Various Sources
- Precise Control over Data Transformation Using Advanced Calculations
- Advanced Analysis Techniques and Data Visualisation Techniques
- Designing and Implementing Interactive Dashboards with Real-Time Functionality
- Real-World Applications and Case Studies
Learning Outcomes
At the end of this programme, participants will be able to:
- Harness multiple data sources for comprehensive analysis;
- Apply advanced calculations for precise data transformation;
- Create advanced data visualisations using Tableau, including combo charts, bullet graphs, donut charts, slope graphs, and geomap; and
- Design dynamic, interactive, and user-focused dashboards using Tableau to facilitate strategic decision making.
Training Methodology
Facilitated classroom learning. Participants will engage in hands-on exercises, interactive discussions, and real-world case studies to reinforce their learning and practical application of Tableau for advanced data analysis and visualisation
Closing Date for Registration
1 Week before Programme or Until Full Enrolment.
Intended For
Financial and accounting professionals with prior experience in using the Tableau software and have good grasp of its basic functionalities.
Competency Mapping
Category 5 = 7.00 Hours
Schedule & Fees
Date & Time
11 Apr 2025 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
For Members:
$ 406.57
For Non-Members:
$ 485.05
Programme Facilitator(s)
Jeffrey Ong
Ong Kia Meng
Venue
60 Cecil Street
ISCA House
Singapore 049709
Testimonial
I wanted to take a moment to express my gratitude to Jeffrey for the exceptional Tableau training course you conducted. His expertise and teaching style made complex concepts accessible and engaging. Jeffrey practical examples and interactive sessions were particularly valuable, allowing me to apply what I learned in real-time. His patience and willingness to answer all our questions, no matter how small, really stood out. Thanks to your guidance, I now feel much more confident in my ability to use Tableau effectively in my work. The skills I’ve gained will undoubtedly have a significant impact on my projects. Thank you once again for an outstanding learning experience
Past Participant - 11 Jul 24
Funding
1] NTUC Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 17 April 2024 to 31 December 2025.
*Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This excludes material fees, registration fees, misc. fees etc.
This course is approved for UTAP support for intakes conducted between 03 April 2024 – 31 March 2025.
As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.
- Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
- Course by training provider must be supported under UTAP and training must commence within the supported period and;
- Unfunded course fee must not be fully sponsored by company or other types of funding
- Unfunded course fee must be S$20.00 and above, and;
- Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
- UTAP application must be made within 6 months after course ends.
For more information on UTAP Funding and to submit for UTAP claims, please visit https://www.ntuc.org.sg/uportal/programmes/union-training-assistance-programme. Terms and conditions apply.
Programme Facilitator(s)
Jeffrey Ong
Jeffrey Ong is a certified curriculum and assessment designer, as well as a trainer for adult learning. He specialises in the design of data science content in both online and classroom training settings. After teaching in schools, Jeffrey transitioned into the education publication industry where he has crafted and conducted product training for clients and staff. His burgeoning interest in Data Science coincided with the opportunity to join Databuilder PL. Jeffrey’s passion lies in Big Data technology and the visualization of data.
Jeffrey holds a Diploma in Adult and Continuing Education (DACE) and Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning (IAL) Singapore. He is also a certified Data Science Practitioner-Instructor by IBM. Jeffrey graduated with an Honours degree in Real Estate from the National University of Singapore, BSc in Mathematics and Economics (Honours) from University of London (Singapore) and a Post Graduate Diploma in Education from the National Institute of Education (Singapore).
Ong Kia Meng
Kia Meng is a training solutionist, and technology evangelist in the data analytics space, possessing more than ten years' experience from financial business partnering. His ability to harness technology enables him to deliver impactful data-driven outcomes. Kia Meng founded Databuilder PL to focus on helping clients adopt data-driven learning design and offer training on data science and business analytics topics. He has created digital instructional media and conducted various business skills training for corporate clients, with participants spanning various nationalities.
A Chartered Accountant of Singapore, Kia Meng graduated with an Accountancy degree from the Nanyang Technological University. He holds an Advanced Certificate in Training & Assessment (ACTA) and a Diploma in Design and Development of Learning for Performance (DDDLP) from the Institute for Adult Learning (IAL) Singapore, and he is a certified Data Science Practitioner-Instructor by IBM. As a qualified employment intermediary in Singapore, Kia Meng is also very passionate about helping individuals match their talents to career objectives.
This full-day training program is tailored for participants who have prior experience using Tableau and are proficient in the following tasks:
- Connecting to data sources
- Navigating the Tableau interface
- Creating basic visualisations
- Using features such as filter usage, parameter controls, and calculated fields
- Creating a basic Tableau dashboard
Participants are encouraged to attend WD012 to obtain the basic proficient.
Laptop and Software Installation
This class places strong emphasis on hands-on learning to create visual analytics. To optimize the learning experience, it is mandatory for all participants to bring with them a laptop, pre-installed with the latest version of Tableau Public (https://public.tableau.com/en-us/s/download) and Microsoft Excel.
Programme Objective
In today's data-driven world, the ability to navigate multiple data sources and transform them into actionable insights is invaluable. This course offers participants an opportunity to deepen their expertise in data analysis by using Tableau, a leading business intelligence tool. Participants will learn how to harness diverse data sources to enable them to perform sophisticated calculations, and design compelling visualisations and dashboards to support strategic decision-making processes.
Programme Outline
- Working with Diverse Datasets and Blending Data from Various Sources
- Precise Control over Data Transformation Using Advanced Calculations
- Advanced Analysis Techniques and Data Visualisation Techniques
- Designing and Implementing Interactive Dashboards with Real-Time Functionality
- Real-World Applications and Case Studies
Learning Outcomes
At the end of this programme, participants will be able to:
- Harness multiple data sources for comprehensive analysis;
- Apply advanced calculations for precise data transformation;
- Create advanced data visualisations using Tableau, including combo charts, bullet graphs, donut charts, slope graphs, and geomap; and
- Design dynamic, interactive, and user-focused dashboards using Tableau to facilitate strategic decision making.
Training Methodology
Facilitated classroom learning. Participants will engage in hands-on exercises, interactive discussions, and real-world case studies to reinforce their learning and practical application of Tableau for advanced data analysis and visualisation
Closing Date for Registration
1 Week before Programme or Until Full Enrolment.
Intended For
Financial and accounting professionals with prior experience in using the Tableau software and have good grasp of its basic functionalities.
Competency Mapping
Category 5 = 7.00 Hours
Programme Facilitator(s)
Jeffrey Ong
Jeffrey Ong is a certified curriculum and assessment designer, as well as a trainer for adult learning. He specialises in the design of data science content in both online and classroom training settings. After teaching in schools, Jeffrey transitioned into the education publication industry where he has crafted and conducted product training for clients and staff. His burgeoning interest in Data Science coincided with the opportunity to join Databuilder PL. Jeffrey’s passion lies in Big Data technology and the visualization of data.
Jeffrey holds a Diploma in Adult and Continuing Education (DACE) and Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning (IAL) Singapore. He is also a certified Data Science Practitioner-Instructor by IBM. Jeffrey graduated with an Honours degree in Real Estate from the National University of Singapore, BSc in Mathematics and Economics (Honours) from University of London (Singapore) and a Post Graduate Diploma in Education from the National Institute of Education (Singapore).
Ong Kia Meng
Kia Meng is a training solutionist, and technology evangelist in the data analytics space, possessing more than ten years' experience from financial business partnering. His ability to harness technology enables him to deliver impactful data-driven outcomes. Kia Meng founded Databuilder PL to focus on helping clients adopt data-driven learning design and offer training on data science and business analytics topics. He has created digital instructional media and conducted various business skills training for corporate clients, with participants spanning various nationalities.
A Chartered Accountant of Singapore, Kia Meng graduated with an Accountancy degree from the Nanyang Technological University. He holds an Advanced Certificate in Training & Assessment (ACTA) and a Diploma in Design and Development of Learning for Performance (DDDLP) from the Institute for Adult Learning (IAL) Singapore, and he is a certified Data Science Practitioner-Instructor by IBM. As a qualified employment intermediary in Singapore, Kia Meng is also very passionate about helping individuals match their talents to career objectives.