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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Full Tableau Training

This is a 2 full day Tableau training for data visualisation. Tableau is designed for data science. This Tableau Essential Training explains how to analyze and present data using this powerful data visualisation program. 

Topics include:

  • Tableau Worksheets
  • Data Visualisation View
  • Tableau Dashboard & Story
  • Actions
  • Connecting to a Data Source
  • Data Join and Data Pivot
  • Organise Data with Filter, Group & Set
  • Field Calculation
  • Parameters
  • Level of Expressions
  • Map Visualisation

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M470

Course Booking

MYR1,600.00 (GST-exclusive)

Course Date

Course Time

* Required Fields

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Day 1

Module 1. Tableau Overview

  • What is Tableau?
  • Tableau Software
  • Tableau File Types
  • Explore Tableau Interface

Module 2. Worksheet and View

  • Worksheet Basics
  • Dimension and Measure
  • Continuous and Discrete Data
  • Create Folder & Hierarchy
  • View Basics
  • Different Plots
  • Saving Workbook

Module 3. Dashboard and Story

  • Dashboard Basics
  • Actions
  • Story Basics

Module 4. Connecting to Data Sources

  • Data Sources
  • Data Extract
  • Data Source Filter
  • Data Join
  • Data Blending

Module 5. Transform Data

  • Data Interpreter
  • Split & Merge Fields
  • Pivot Data
  • Filter Data
  • Organize Data by Group & Set

Day 2

Module 6. Calculation

  • Create Calculated Field
  • Shelf Calculation
  • Table Calculation
  • Logical Functions

Module 7. Parameter

  • Filter By Parameter
  • Top N Analysis
  • Add Calculation to Parameter
  • Reference Line
  • Dynamic View

Module 8. Level of Expression

  • Level of Expression (LOD)
  • Fixed LOD
  • Include LOD
  • Exclude LOD

Module 9. Analytics

  • Average Line
  • Trend Line
  • Forecast
  • Clustering

Module 10. Map

  • Map Basics
  • Map Services
  • Integrating Mapbox Styles to Map

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Digital Marketers



This is a beginner course. No prior knowledge on Tableau is required

Software Requirement

Pls download install Tableau Desktop Trial

You can also download a free version of Tableau Public from

Note that we don't provide Tableau software.


Data Science TrainerDr Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post-graduate in Physics from the University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

IoT and Robotics TrainerReza Khosravi is the founder and CEO of Skymics Sdn Bhd a High Tech MSC status company in the field of IT and Internet of Things Technology. He has over 15 years of experience in IT and Telecommunication. He is the inventor of the C65 embedded device. He graduated from Staffordshire University with MBA degree in IT.

  • More than 5 years of experience in Smart Cities Solutions
  • An expert on Embedded System Design, Raspberry Pi and Arduino
  • An expert on IBM Blunix and IBM Watson
  • More than 3 years of experience in the field of IoT solutions.
  • He is the designer of below IoT Projects in last 3 years.

Python TrainerSaeid Alizadeh is a technopreneur specialized in the field of IoT (Internet of things) and Smart Cities projects, experienced in Programming, Data Analysis, Big Data, Machine Learning, image processing and electronic design. He has an extensive experience in coding with Python, C, C++, C#.

Saeid’s past experience on IoT application include:

  1. Smart Building System
  2. Energy Monitoring, Controlling and Saving
  3. Environmental Monitoring 
  4. Flood detection and prediction system based on IoT and big data 
  5. Online Weather Station Based on IoT
  6. Smart Farming System (Long Range Wireless Sensor Networks)
  7. Smart Hydroponic System Based on IoT
  8. IP TV and Digital Signage System
  9. RFID Solution 
  10. GPS Tracking System
  11. Remote Sensing

R Statistics TrainerSultan Maideen has over 8 years of experience in Business Intelligence with Predictive Analytics and Data Visualization. His colleagues regard him as a self-motivated thought leader in building governed self-service BI/Analytical models in Tableau, QlikView, MicroStrategy, and Power BI. .He specializes in enhancing the quality of business strategy and helping companies improve top-line & bottom-line by devising creative solutions & managing stakeholders’ expectations successfully.

Basic Tableau Trainer Ghazaleh Babanejad has received her PhD from University Putra Malaysia in Faculty of Computer ‎Science and Information Technology. She is working on recommender systems in the ‎ field of skyline queries over Dynamic and Incomplete databases for her PhD thesis. She is also working ‎ on Data Science field as a trainer and Data Scientist. She worked on Machine Learning and Process ‎ Mining projects. She also has several international certificates in Practical Machine Learning (John ‎ Hopkins University) Mining Massive Datasets (Stanford University), Process Mining (Eindhoven ‎ University), Hadoop (University of San Diego), MongoDB for DBAs (MongoDB Inc) and some other ‎ certificates. She has more than 5 years of experience as a lecturer and database administrator.

Data Science Trainer Jason Lim is native of Kuala Lumpur, Malaysia; studied Bachelor’s Degree in Accounting and Finance from the London School of Economics Program, University of London. Raised in a typical Chinese family with an entrepreneurial business background that is involved in manufacturing and real estate development.  He worked as an Executive at the Asset and License Management Department in Standard Chartered, Malaysia; promoted to Data Analyst six months later. Later joined Tune Hotels Regional Services, a hotel management and hotel chain operator; served as Senior Revenue Executive. Served as Research Analyst with Wealth-X, a company that provides prospecting, intelligence and wealth due diligence on ultra-high net worth individuals. Thereafter served as Senior Data Analyst with Xchanging Malaysia, a joint venture between Xchanging and YTL Communications to develop and deliver enhanced mobile internet and cloud-based hosting offerings in Malaysia. Worked as Senior Data Analyst with GoQuO, a full-service e-commerce solutions provider to airlines and OTAs. Currently serving as Senior Data Analyst at Malaysia, a property website in several Asian countries. Community Organizer of Big Data Malaysia, a professional network for individuals with interest in all aspects of Big Data, and Member of the Founder Institute for Malaysian Chapter, the world’s largest entrepreneur training and startup launch program.

Customer Reviews (5)

Might RecommendReview by Tan Nian Wei
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I suggest to structure the course around just a single dataset, and intertwine the exercises with the data. E.g. instead of "generate a chart of x vs y", structure the question like "go ahead and see how does x relate to y, and if there is a relationship, try and explain it by checking z". (Posted on 4/28/2018)
More working experience sharing on Tableau will be helpful Review by Eelyn
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Update the material to be more accurate and make sure all the files are ready for exercise. (Posted on 2/27/2018)
The Trainer is very experienced n knowledgeableReview by Visvam Arasie
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course has too many syllabus to cover n we have limited time to cover all. (Posted on 12/17/2017)
Will RecommendReview by Nurliyana Binti Muty
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The training place is quite far and the floor 32 is high level
(Posted on 11/13/2017)
Will RecommendReview by Ammy Vega Darya
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
One thing to improve is the training environment, the class is a bit small and kind of difficult to reached since the lift layout inside the building is quite confusing. (Posted on 7/10/2017)

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