This is a two-in-one course designed to provide participants with the tools and knowledge to prepare and shape data for analysis and further create impactful visualisation on the data. It will cover the conceptual data preparation to creating useful data preparation flows and key elements of effective dashboard for exploratory and explanatory analysis.
Participants will work on lab exercises using best-of-breed data preparation and visualisation tools such as Tableau Prep and Tableau Desktop or Power BI to carry out data analytics work from data preparation to visualisation, seamlessly.
On top of the training component, there will be a one-day consultation session where participants can apply their learnings to a real world use cases.
Laptops will be provided for the duration of the course.
Learning Objectives
Upon completion of this course, you will be able to:
- Explain the roles in data analytics and types of analytics
- Understand data, data issues and data quality in data analytics
- Connect to data sources and build data relationships
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Clean, impute and correct anomalies in the collected structured data to ensure a high standard of quality in data sets to be used in the analysis work.
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Understand and use the industry recommended framework for data visualisation.
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Understand the key elements to build effective storyboard.
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Apply the best practices for dashboard design.
- Apply data analysis skills to either self-sourced or given capstone project
Who should attend?
Data Analysts or individuals who wish to upgrade their data and visualisation skills.
Entry Requirement
Basic IT literacy.
Certification
Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.
For courses with assessment component, participants will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.