Training Course in Data Visualization Using Qlik Sense

Training Course in Data Visualization Using Qlik Sense

The Qlik Sense Data Visualization Training Course is a 5‑day upskilling program for professionals who want to master advanced visualization techniques.

Foundation
01

Course Overview

Course Summary
Course Title Training Course in Data Visualization Using Qlik Sense
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

The Qlik Sense Data Visualization Training Course is a 5‑day upskilling program for professionals who want to master advanced visualization techniques.

 

You will gain hands‑on experience building interactive dashboards, custom visualizations, and data‑driven reports.

 

The training goes beyond basic charts. It covers:

 

  • Advanced chart types
  • Custom visualizations
  • Dynamic data storytelling
  • Integration of multiple data sources (including external data and APIs)
  • Data transformation and aggregation
  • Performance optimization.

 

You will be empowered to transform complex data into actionable insights, making them invaluable assets in your organization.

 

 

Duration

 

5 days

 

 

What are the Key Skills from This Course?

 

  • Designing and building interactive dashboards
  • Creating custom visualizations and advanced charts
  • Integrating multiple data sources, including APIs
  • Performing data transformation and aggregation
  • Applying data modeling techniques
  • Optimizing dashboard performance
  • Implementing real-time analytics and dynamic reporting
  • Developing data storytelling and reporting skills
  • Applying business intelligence (BI) principles
  • Following analytics best practices for user-friendly dashboards

 

 

Who Should Attend This Course?

 

  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • IT Professionals involved in data management
  • Decision-makers who need advanced data visualization skills

 

 


Course Objectives

 

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

 

  • Develop expertise in advanced data visualization techniques using Qlik Sense
  • Create interactive dashboards that provide insightful and actionable data representations
  • Customize visualizations to meet specific analytical needs and preferences
  • Utilize advanced features to enhance data storytelling and presentation
  • Apply learned skills through practical case studies and exercises

 

 

Course Requirements

 

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

 

 

 

Training Approaches

 

  • 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: Advanced Chart Types and Custom Visualizations

 

  • Explore advanced chart types available in Qlik Sense
  • Learn to create and customize custom visualizations
  • Integrate multiple data sources for comprehensive visualizations
  • Practical session: Design a dashboard using advanced chart types to visualize sales and marketing performance metrics

 

 

Module II: Dynamic Data Storytelling and Presentation

 

  • Techniques for building interactive and dynamic dashboards
  • Best practices for data storytelling in Qlik Sense
  • Tools and features for creating compelling presentations
  • Case Study: Develop a dynamic report showcasing financial trends and projections for executive review

 

 

Module III: Advanced Data Transformation and Aggregation

 

  • Methods for complex data transformation within Qlik Sense.
  • Techniques for advanced data aggregation and manipulation.
  • Creating and managing data models for enhanced analytics.
  • Case Study: Implement a data transformation process to analyze customer behavior across different regions.

 

 

Module IV: Integrating External Data and APIs

 

  • Techniques for integrating external data sources with Qlik Sense
  • Utilizing APIs for real-time data integration and visualization
  • Managing and updating external data connections
  • Case Study: Create a dashboard integrating external social media data with internal sales data for a comprehensive analysis

 

 

Module V: Performance Optimization and Best Practices

 

  • Strategies for optimizing the performance of Qlik Sense applications.
  • Best practices for efficient data visualization and dashboard design.
  • Troubleshooting common issues and performance bottlenecks.
  • Hands-on Exercise: Optimize a complex sales dashboard to improve loading times and user experience
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
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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
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21 Sep - 25 Sep
Nairobi
KES 75,000 |
$1,100
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19 Oct - 23 Oct
Nairobi
KES 75,000 |
$1,100
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16 Nov - 20 Nov
Nairobi
KES 75,000 |
$1,100
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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
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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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