Effective data storytelling transforms raw figures into strategic decisions. This course trains participants to craft compelling, clear, and insightful data visualisations using Tableau. Through hands-on exercises and real datasets, they will learn to translate information into persuasive dashboards.
Learning Outcomes:
Identify the types of data visualisation tools and use appropriate visualization techniques to present data
Apply data transformation techniques used in Tableau to align data trends for effective data presentation
Organise graphics elements for data representation
Develop dashboard and scorecard in Tableau to convey internal and external benchmark data
Analyse and discuss the limitations revealed from the Tableau dashboard
Key Topics:
Tableau interface and foundational concepts
Connecting to Excel, databases, and cloud data
Calculated fields, parameters, and quick filters
Visual best practices and layout design
Dashboard actions and interactivity features
FUNDING INFORMATION
SkillsFuture Singapore (SSG)
Funding is available on Course Fee. Please see below for the eligibility categories available.
| Self-sponsored | Singapore Citizen & PR aged ≥ 21 years | Up to 50% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding | |
| Company Sponsored (Non-SME) | Singapore Citizen & PR aged ≥ 21 years | Up to 50% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding | |
| Company Sponsored (SME) | Singapore Citizen & PR aged ≥ 21 years | Up to 70% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding |
SSG Funding Requirements
- Trainees must scan their attendance twice daily using the SingPass application.
- Trainees must attain at least 75% attendance.
- Trainees must pass the in-house assessment to be eligible for funding.
- Trainee and/or sponsoring company is/are required to meet all SSG-mandated eligibility criteria and requirements for funding. For more information, please refer to SkillsFuture homepage.
Appeal Policy and Procedure
- As a candidate in this course assessment, you may appeal your results if you disagree with them.
- To do so, submit your written appeal request via email to esv_comat_cse@stengg.com within 3 working days from date of assessment.
Cancellation, Postponement and Refund Policy
- Request for cancellation or postponement must be submitted in writing more than 4 weeks before the class start date to avoid any charges.
- Written notice for cancellation or postponement received 2 to 4 weeks before class start date will incur Late Cancellation Charge - 50% of course fee.
- Written notice for cancellation or postponement received less than 2 weeks before class start date will incur Late Cancellation Charge - 100% of course fee.
- If payment has been made and ST Engineering e-Services Pte Ltd accepts the trainee's written notification to cancel or withdraw from the course, ST Engineering e-Services Pte Ltd will issue a refund, less any applicable Late Cancellation Charges.
Feedback Policy and Procedure
- You may submit feedback via email to esv_comat_cse@stengg.com or your servicing Account Manager.
- Any formal feedback will be handled within 10 working days from receipt with a written reply given. An interim reply will be provided should more time be required.
Module 1: Introduction to Self-Service Solutions and Tableau
- Introduction to Self-Service Solutions
- Tableau Overview
Module 2: Import Data Sources, Worksheets and Views for Data Transformation
- Connect to Different Data Sources
- Create Relationships between Tables
- Create Data Extracts and Filters
- Apply Dimensions and Measures
- Basics of Worksheets and Views
- Create Folders and Hierarchy
- Data Processing and Transformation Overview
Module 3: Add and Organise Visual Displays in Tableau
- Create different charts for different scenarios
- Format size, colors, and other elements of charts
- Gather Insights from charts
- Create Filter from Measures and Dimensions
- Organize Data by Groups and Sets
- Create Calculated Fields and Parameters
- Apply Logical Functions
- Top N Analysis
- Get Quick Insights from your data
Module 4: Create Analytical Dashboards
- Create & Format Dashboards
- Communicate with Dashboards
- Apply filters for dashboard visualisations
- Add annotations to dashboards
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