Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Qlik Sense Business Analytics Training

Course Code: C830

What's This Course About

Embark on a transformative journey with the Qlik Sense Business Analytics Training at Tertiary Courses. Qlik Sense, a front-runner in the business analytics sphere, offers a dynamic platform for data-driven decision-making. This course has been meticulously designed to ensure participants grasp the nuances of the tool, enabling them to extract actionable insights from their data.

Commencing with an in-depth look at the Qlik Sense Interface, trainees will be adeptly guided on connecting to diverse data sources, ensuring a robust foundation. From there, the course delves into the intricacies of data modelling, preparation, and creating compelling visualizations. By mastering Qlik Sense expressions and the potent set analysis feature, participants will be equipped to transform raw data into visual stories, making strategic decisions with precision. Join us and harness the power of Qlik Sense for superior business analytics.

Funding and Grant Applications

No funding is available for this course

Course Fee

$600.00 (GST-exclusive)
$654.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1 Get Started on Qlik Sense

What is Qlik Sense

Qlik Sense Demo

Download Qlik Sense Desktop

Qlik Sense Hub & Apps

Create Your First App

Create Sheets for Your App

Topic 2. Loading Data

Loading Excel Data

Create a Connection to Data Source

Data Association

Concatenate Tables

Topic 3. Data Visualization

Chart Types in Qlik Sense

Add Charts

Create a Dashboard

Topic 4 Data Discovering

Interacting with Visualizations

Types of Selections

Using Lasso Selection

Bookmark Selections

Create Visualizations with Insight Advisor

Create visualizations with Chart Suggestion

Alternate States

Touch Gestures

Topic 5 Data Storytelling

What is Data Storytelling

Taking Snapshots

Create a Simple Story

Topic 6 Scripting

Data Load Editor

Load Data

Variables and Control Statements

Join and Concatenate Tables

Topic 7. Data Modelling

Synthetic Key Data Model

Synthetic Keys Removal Script

Circular Reference Data Model

Circular Reference Removal Script

Topic 8. Expressions

Aggregate Functions

Chart Expressions

Dollar-Sign Expansion

Class Functions

Topic 9. Set Analysis

What is Set Analysis

Create Set Expressions

Set Modifier

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

  • Download and install Qlik Sense® Desktop;

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Scientists
  • Data Analysts
  • Digital Marketers

Trainers

Trainers

Qlik SenseTrainerBimala 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. Qlik Sense TrainerSachin Godhania has Overall 12 years of IT experience, with strong exposure in Business Intelligence , Analytics and Database. He has extensively worked on implementation of BI solutions mainly use Qlik for various domains like Financial & Banking, Service, manufacturing etc. He is QlikView developer and Qlik Sense Architecture Certified. His expertise is not limited to dashboard development but proposing enterprise architecture and Business Analysis and training. He has done Bachelors in Information Technology application from Sardar Patel university in India. He is an expert on Qlik (QlikView, Qlik Sense, NPrinting) SQL backend Query, Excel, Python, Tableau to name a few. He enjoys working with both adults and youngsters. Currently am apart from my work , he pursuing Masters in Innovation from SMU, Singapore.

Review

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