Data is valuable asset for any organisation. It is often used for decision-making at various levels in an organisation.
Using Tableau, an industry-standard data visualisation and analytics software, you will learn to generate meaningful analytics, forecasting charts, and dashboards.
By the end of the course, you would have learnt to translate data into essential analytical insights.
Upon completion of this course, participants will be able to:
- Summarise data management activities
- Using Join and Blending
- Understand the difference between Join and Blending
- Use and prepare data subset for analysis
- Execute advance data computation
- Engage in data analysis through statistics and forecasting approaches
- Comparing between measures
- Comparing progress against goals
- Viewing distribution
- Using the analytic pane
- Using trend lines
- Forecasting fields and options
- Employ Geocoding in visualisations
- Use maps for presentation of results
Who should attend?
Data analysts, managers, professionals, executives and support staff involved in data collection, preparation and presentation for analysis and decision-making.
Participants should have attended the Fundamentals of Data Visualisation
Laptops will be provided for the duration of the course.
Participants will be awarded the Certificate of Attendance by Republic Polytechnic upon meeting 80% of attendance requirement.
|Full course fee
||Singapore Citizens aged 40 & above
||SME-employed Singapore Citizens & SPR
||Singapore Citizens aged below 40 OR Singapore PR
*Payment may be made using SkillsFuture Credit.
*Fees reflected are inclusive of GST (Goods & Service Tax).
*From 1 July 2020, Workfare Training Scheme (WTS) and fee subsidy under WTS will cease. WTS will be replaced by Workfare Skills Support Scheme (WSS). For more information on WSS, please refer to
Republic Polytechnic reserves the right to make changes to the course fee and application closing dates without prior notice. The commencement of each course is subject to sufficient number of participants.
All information is accurate at time of publishing.