Training Course in Data Analysis and Visualization Using QlikView

Training Course in Data Analysis and Visualization Using QlikView

This is a comprehensive 5-day QlikView training course for business intelligence (BI), data visualization, and analytics.

Foundation
01

Course Overview

Course Summary
Course Title Training Course in Data Analysis and Visualization Using QlikView
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 Days
Target Industries
  • Banking
  • Retail
  • Financial services
  • Logistics and supply chain
Target Job Roles
  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • IT Professionals involved in data management
  • Decision-makers who need advanced data visualization skills
Course Fees (Face-to-Face) USD 1100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) USD 500/KES 55,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

This is a comprehensive 5-day QlikView training course for business intelligence (BI), data visualization, and analytics.

 

You will learn how to use QlikView’s powerful features to connect to diverse data sources, perform advanced data transformation, create dynamic interactive dashboards, and conduct complex data analysis to drive strategic decision-making.

 

Through hands-on exercises and real-world case studies, you will gain skills in building impactful BI solutions that support organizational reporting and insight generation.

 

What is the Key Difference Between QlikView and Qlik Sense?

 

QlikView is a guided analytics tool used to create dashboards and reports for a predefined set of questions, while Qlik Sense is a flexible, self-service analytics tool that allows users to create their own visualizations and explore data interactively.

 

While both tools are developed by Qlik, QlikView is better suited for developers, whereas Qlik Sense is ideal for non-technical users.

 

Duration

 

5 days

 


What are the Key Skills from This Course?

 

  • Designing interactive and dynamic dashboards for executive and operational reporting
  • Performing advanced data visualization to communicate insights effectively
  • Writing and optimizing QlikView scripts for data transformation and modeling
  • Applying set analysis and complex expressions for deeper analytical insights
  • Integrating data from multiple sources into a unified QlikView data model
  • Optimizing QlikView applications for performance and scalability
  • Conducting advanced data analysis to support strategic decision-making

 

 

Who Should Attend This Course?

 

  • Business intelligence professionals
  • Data analysts and data scientists
  • IT and data management specialists
  • Business executives and decision-makers
  • QlikView users seeking advanced skills

 

 

Course Objectives

 

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

 

  • Master advanced features of QlikView for business intelligence
  • Develop skills in creating dynamic dashboards and reports
  • Perform complex data analysis and visualization
  • Implement best practices for using QlikView effectively
  • Apply practical skills through hands-on exercises and case studies

 

 

Course Requirements

 

  • Proficiency in English
  • Basic computer literacy
  • Familiarity with data processes

 

 

Training Approaches and Methodology

 

  • Interactive lectures
  • Live demonstrations
  • Hands-on exercises
  • Group discussions
  • Real-world case studies
  • Knowledge checks and quizzes
  • Collaborative group work

 

02

Course Modules

Course Outline

 

Module I: Introduction to QlikView

 

  • Overview of QlikView features and architecture
  • Navigating the QlikView interface
  • Understanding QlikView data models and applications
  • Case Study: A Business Overview Using QlikView

 

 

Module II: Data Loading and Transformation

 

  • Connecting to various data sources in QlikView
  • Performing data extraction, transformation, and loading (ETL)
  • Managing data quality and consistency
  • Case Study: ETL Process in a Retail Environment

 

 

Module III: Advanced Data Visualization Techniques

 

  • Creating interactive and dynamic dashboards
  • Utilizing advanced chart types and custom visualizations
  • Implementing drill-down and filter functionalities
  • Hands-on Exercise: Designing a Sales Dashboard for Executive Reporting

 

 

Module IV: Complex Data Analysis in QlikView

 

  • Performing advanced data analysis and aggregations
  • Using QlikView's scripting capabilities for custom calculations
  • Applying set analysis and advanced expressions
  • Case Study: Customer Segmentation Analysis Using QlikView

 

 

Module V: Best Practices and Case Studies

 

  • Implementing best practices for QlikView design and performance
  • Analyzing real-world case studies and examples
  • Developing and presenting a comprehensive QlikView project
  • Case Study: Optimizing QlikView for Enhanced Performance in an Organization
03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

2026 Schedules

Date & Location Cost
16 Mar - 20 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
20 Apr - 24 Apr
Nairobi
KES 75,000 |
$1,100
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18 May - 22 May
Nairobi
KES 75,000 |
$1,100
Enroll
15 Jun - 19 Jun
Nairobi
KES 75,000 |
$1,100
Enroll
20 Jul - 24 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
17 Aug - 21 Aug
Nairobi
KES 75,000 |
$1,100
Enroll
21 Sep - 25 Sep
Nairobi
KES 75,000 |
$1,100
Enroll
19 Oct - 23 Oct
Nairobi
KES 75,000 |
$1,100
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16 Nov - 20 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
21 Dec - 25 Dec
Nairobi
KES 75,000 |
$1,100
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18 Jan - 22 Jan
Nairobi
KES 75,000 |
$1,100
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15 Feb - 19 Feb
Nairobi
KES 75,000 |
$1,100
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15 Mar - 19 Mar
Nairobi
KES 75,000 |
$1,100
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19 Apr - 23 Apr
Nairobi
KES 75,000 |
$1,100
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17 May - 21 May
Nairobi
KES 75,000 |
$1,100
Enroll
21 Jun - 25 Jun
Nairobi
KES 75,000 |
$1,100
Enroll
19 Jul - 23 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
16 Aug - 20 Aug
Nairobi
KES 75,000 |
$1,100
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20 Sep - 24 Sep
Nairobi
KES 75,000 |
$1,100
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18 Oct - 22 Oct
Nairobi
KES 75,000 |
$1,100
Enroll
15 Nov - 19 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
20 Dec - 24 Dec
Nairobi
KES 75,000 |
$1,100
Enroll

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