Malaysia Science Endownment (MSE): Harnessing Alternative Financing Tools to Sustainably Power R&D Activities
May 11, 2022The Second Edition of the Malaysian Code Responsible Conduct in Research (MCRCR)
May 11, 2022To empower ASM in the field of data science, ASM have taken on the request from Federal Department of Town and Country Planning Malaysia (PLANMalaysia) to provide data analytics training to their officers.
Five modules were delivered on foundational data analytics skills such as data driven thinking, gathering and preparation of the data and generating insight.
Module 1: Data-Driven Thinking
In Module,1, participants will get an introduction to data analytics and its role in business decisions. They learned how to define the use case, identifying the problem to know the suitable data and analysis. Participants also learned how to do data storytelling and understand big data analytics environment.
Module 2: Preparing for Data
Module 2 is to explain what and how is data preparation process including data inventory & wrangling, data cleansing, data manipulation and data modelling.
Module 3: Knowing Your Data
In module 3, participants started to apply the fundamentals in advanced analytics and learned how to get insights using an Excel dashboard. The topics includes descriptive analytics, correlation and regression, diagnostic analytics and how to visualize in Excel dashboard.
Module 4: Data Storytelling
Module 4 is to get the participants to the hands-on activities. The participants learned how to express their story using data and visualization tools such as Tableau. The topics includes storytelling with data, best practices with data storytelling, Introduction to Tableau basic charts, visual Analytics and dashboards and geospatial visualization.
Module 5: Capstone
This last module is to get participants to apply all the findings and skills they have learned from previous modules. Participants will start to identify suitable use case, problem statement, identify analysis and analytics approach to the use case. Participants will do data preparation and modelling to build a visualization and insights.
At the end of the programme, more than 50% of the attendees have a better understanding of data analytics. More than 40% of the attendees rated as very satisfied with the overall module and program.