UEN No.: 198802365N

WSQ Data Visualization Techniques using Power BI

COURSE synopsis

Course Details

Training Provider:

Course Duration

16 HRS

Course Reference Number


Funding Validity Period

24 May 2022 To
17 May 2024

Mode of Training


Course Synopsis

Organisations now have access to many sources of digital data. Organisations must cultivate staff with the necessary skills to be able to analyse these data and apply contemporary techniques to create dynamic and interactive visual displays in order to better illustrate and articulate to business stakeholders.

This course sets out the skills and abilities for learners to master the features and functions of Microsoft Power BI. Learners will be able to understand key concepts and techniques on creating data visualization, create visuals, understand data relationships and generate data for forecasting and trends.

Course Objectives

By the end of this course, learners will be able to:

  • Select the appropriate visualization techniques to convey findings with usage of interactive visual display
  • Present different data types to reflect business trends using visualization techniques to show correlations between data sets
  • Incorporate suitable chart elements to create informative and interactive data displays
  • Develop basic dashboards KPI scorecards to display benchmark and results achieved
  • Incorporate interactive graphical visuals dashboard presentations
  • Communicate the limitations of data in dashboard with visualization to show business

Target Audience

This training is relevant to Executives, Senior Executives and Data Analyst, Managers who are keen to learn how to fully utilise Power BI Desktop as a BI tool. This training is relevant to learners who are keen to explore data analytics as a job role.

Assumed skills

  • Learners must be able to read, write, speak and listen to English at secondary school level
  • Learners to have minimum GCE ‘O’ level or ITE certificate education
  • Learners should have at least 1 year’s working experience in any industry
  • Learners must be able to operate a personal computer
  • Learners must be able to use Excel functions at intermediate level

Training Methodologies

Lectures, demonstration and hands-on activities designed to provide practical experiences with skills being taught.

Course Content

Learning Unit 1: Importing Data into Power BI Desktop
  • Using Get Data feature
  • Get Data from text files
  • Get Data from spreadsheet files
  • Get Data from database files
  • Get Data from websites
Learning Unit 2: Shape and Clean Data using Power Query
  • Navigating Power Query Editor
  • Removing rows and columns within Power Query
  • Changing Data Types
  • Entering data via Power Query
  • Creating headers in Power Query
  • Find and replacing values in columns
  • Splitting and merging columns
  • Using Unpivot feature
  • Understanding Applied Steps in Query Editor
Learning Unit 3: Building Data Models
  • What is a Data Model?
  • Types of Relationships
  • Creating Relationships between Tables
  • Creating a Link Table
  • Creating a New Calculated Columns
Learning Unit 4: Creating Basic Data Visualization
  • Conditional Formating using background colours and data bars
  • Using Bar, Column, Pie and other standard visualization
  • Using KPI visualization and other visualization types
Learning Unit 5: Introduction to Measures
  • What is a measure?
  • Creating measures
  • Using measures for Gauge chart and KPI visualization
  • Creating measures table
Learning Unit 6: Introduction to DAX
  • What is DAX?
  • Basic DAX functions and formulas like SUM, AVERAGE, CALCULATE
  • Difference between Iterator and Aggregator functions i.e. SUM vs SUMX
  • Creating DAX with multiple tables
  • Other DAX functions like COUNT, COUNTROWS, MAX, MIN, DIVIDE functions
Learning Unit 7: Additional Data Visualization
  • Creating Drillthroughs
  • Creating Tooltips
Learning Unit 8: Using Predictive Analytics and other Reference Lines
  • Using Constant Line
  • Using Min and MAX Line
  • Using Average Line
  • Using Median Line
  • Using Percentile Line
  • Creating Forecasting values
Course Outline

Download the PDF below for a summary of the course outline.


Company Sponsored

Funding Type Full Fee GST Funding Amount Nett Fee Payable (incl. GST)
SME $550 $44 $385 $209
Non-SME $550 $44 $275 $319
$550 $44 $385 $209

Course Fee Funding:
SME: 70% of course fee
Non-SME: 50% of course fee
Non-SME(MCES): 70% of course fee

$4.50 per training hour capped at $100,000 per enterprise per calendar year


Funding Type Full Fee GST Funding Amount Nett Fee Payable (incl. GST)
MCES $550 $44 $385 $209
Normal $550 $44 $275 $319

Course Fee Funding:
MCES: 70% of course fee
Normal: 50% of course fee


Looking at in-house training or have an enquiry? Contact us!

Related Courses


16 HRS



16 HRS



16 HRS



Have an enquiry? Feel free to connect via any of the channels below.

enquiry form

Leave a message


Chat on WhatsApp at
+65 8767 0614

Training hotline

Give us a call at
+65 6737 5761