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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Qlik Sense Business Analytics Training

Qlik Sense is currently one of the top 3 most popular business intelligence software. It helps people find deeper insights by harnessing human intuition and machine intelligence during the analytics process. Qlik Sense associative engine lets you explore all your data, in any direction, leaving no data behind and no path uncovered.
This 2 days Qlik Sense Business Analytics Training will cover the basic to advanced features of Qlik Sense to harness for business intelligence.

  • Qlik Sense Interface
  • Connect to Data Sources
  • Data Modelling and Preparation
  • Data Visualization
  • Qlik Sense Expressions
  • Set Analysis

After your registered for the course, you can apply SSG grants below

Click here to apply SkillsFuture Credit for Individual

Click here to apply WSG Absentee Payroll for Company
Course Code: CRS-N-0048258

Course Booking

$498.00 (GST-exclusive)

Course Date

Course Time

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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.

Training Grant and Subsidy

All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the SkillsFuture Credit course directory

Course Details

Day 1

Module 1 Overview of Qlik Sense

  • What is Qlik Sense
  • Exploring Qlik Sense Interface

Module 2. Preparing your data files and workspace

  • Preparing data files
  • Preparing workspace, knowing the directories
  • Creating a Qlik Sense App

Module 3. Data Sources

  • Upload CSV and Excel file
  • Connecting ODBC and OLEDB driver

Module 4. Data Modelling

  • Associative Data Modelling
  • Exploratory data analysis
  • Data preparation
  • Unpivoting source table

Day 2

Module 5. Building and Modify Qlik Sense Dashboard App

  • User Types
  • DAR Principle
  • Design Requirements
  • Creating Analysis sheets
  • Dimension and Measures
  • Adding 4 basic chart objects
  • Adding more dashboards

Module 6. Customizing and Presenting Qlik Sense Dashboard App

  • Customizing chart objects
  • Global App and Sheet properties and settings
  • Customizing Dimensions
  • Adding Bookmark Objects
  • Creating Storyboards
  • Using extensions
  • Sharing Apps

Module 7. In-depth into Qlik Sense Expressions

  • Aggregation Functions
  • Conditional branches
  • Set Analysis

Module 8. Classroom scenario-based problem solving with Qlik

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Digital Marketers



This course is for beginner. No prior knowledge on programming is required.:

Software Requirement

    • Download and install Qlik Sense® Desktop;


QlikSense TrainerGary HOW has overall 10 years of IT experience with strong exposure in Business Intelligence and Analytics domains. He has been delivering Qlik Sense enterprise solutions and training to corporate users for the past 4 years since it first released in 2014. Further, through the course of his work, he has also implemented software trials on various Business Intelligence solutions including MS Power BI and Tableau. He holds a Bachelor's degree in Computing from NUS.

QlikSenseTrainerBimala Mishra has Overall 13 years of IT experience, with strong exposure in Database, Business Intelligence and Analytics domains. She has extensively worked on implementation of Enterprise Datawarehouse and BI solutions. She is a Certified Business Intelligence Professional from ICCP, USA (2013). Bimala’s varied career includes Data Analysis, Design and development of enterprise solution. She has done Masters in Computer application from one of the pioneer institutes of India and have worked on MNC such as Hewlett Packard. She is an expert on SQL backend Query, Excel, QlikView, Qlik Sense, C Programming, Java, Python to name a few. She enjoys working with both adults and youngsters. Currently she is an active volunteer of NLB S.T.A.R program, where she teaches Seniors about NLB mobile Apps and assists secondary students in her children school on their computer project assignments.

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