Course Information

Date06 Nov 2019, Wed
Time9:00 AM - 5:00 PM
VenueRoyal Plaza on Scotts Singapore Hotel Including Tea breaks and International Gourmet Buffet Lunch at Carousel Restaurant (Halal Certified)
FeeS$ 600 (Nett)
9767 9686 / 6278 9785

Registration is on a 1st come 1st serve basis. Register early to avoid disappointment.


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Nov 2019

Data Visualization And Storytelling with Tableau


Case-study based data analytics using Tableau

Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data into the very easily understandable format. Data analysis is very fast with Tableau and the visualizations created are in the form of dashboards and worksheets. The data that is created using Tableau can be understood by professional at any level in an organization. It even allows a non-technical user to create a customized dashboard.

This course is customized for corporate managers and executives who are required to prepare various types of impressive executive management reports and business key performance reports. The great thing about Tableau software is that it doesn’t require any technical or any kind of programming skills to operate. The main objective of this course is to provide the participants invaluable insights and equip them with advanced charting and reporting skills to professionally present their reports in the form of a story.


  • Identify the core principles of data visualisation and data storytelling
  • Identify the different types of business questions and analytical patterns
  • Be able to conduct exploratory and diagnostic analysis
  • Develop dashboards as part of data storytelling for business needs
  • Understand and work with Tableau


Understanding what Data Storytelling means and Tableau interface overview

  • Connect and join different data sources
  • Create union/blend of two tables
  • Create relationships between multiple tables
  • Create data extracts and filter out data at source
  • Create basic charts (pie charts, bar charts, line charts)
  • Format text and colors in a chart

Organize and sort data, apply filters and use quick calculations

  • Conversion of data types
  • Create hierarchies in data
  • Create groups and sets
  • Apply in-built filters to a chart as slicers/ radio buttons/drop down menu
  • Create bins and plot histograms/frequency plots
  • Use quick table calculations to see percentage of total/running total/difference from previous
  • Use hierarchy to create dynamic aggregations

User defined calculations and functions, parameter control

  • Apply the If-Then logic
  • Use pre-defined functions for strings, numbers and dates
  • Calculate percentages
  • Apply logical functions
  • Split and merge fields
  • Create dynamic filters and variable bin size
  • Use the created fields in visualizations and as filters

Advanced analytics and short case study

  • See correlation and fit regression line
  • Forecast the future value using in-built mechanisms
  • Create clusters and visualize them
  • Create trend line/average line to make charts more interpretable

In the short case study, participants will have a chance to design a user-friendly dynamic dashboard and publish it to your Tableau Public profile. The case study helps participants to apply the skills and functions they learned from the training so that they know exactly how to build interactive and informative dashboards in their work. A typical case study could be HR Analytics, for which the dataset will be provided


Course Pre-requisite
This course is suitable for beginners and does not require any prior knowledge of the tool. A comprehensive course structure will ensure that the candidates take away a clear understanding of the concepts of data storytelling and gain strong hands-on experience on the tool. Participants are required to bring a laptop for the course.


Mallikarjun is an experienced Data Scientist and has worked across multiple functions in multi-billion dollar companies. He specializes in Business Intelligence and Machine Learning and has worked on assignments in Australia, Malaysia, Japan, and India. He has coached people for data analytics, business intelligence, and data visualization.

He has extensive experience working on various problem statements that involve data analytics and data science, including automating financial and HR reports for the C-level management of his company and working on showing the perfect recommendation to a consumer on the e-commerce platform which directly impacts the revenue. His day to day tasks involves supporting business decisions using BI and visualization tools, training machine learning models with petabyte-scale datasets and communicating insights to the business users for making informed decisions. His creative skills combined with programming skills have given him an edge in the tech industry.

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