Training Course in Data Visualization Using Qlik Sense


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Training Course in Data Visualization Using Qlik Sense: Course Details

 

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 training)

USD 1100/KES 75,000 (Exclusive of VAT)

Course Fees (virtual training) 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 Upon successful completion of the training, participants will receive a Tech For Development Certificate of Course Completion

 

 

Course Summary

 

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

 


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

Related Courses


Course Administration Details:

Methodology

This instructor-led training course is delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion.

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to our bank account on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com

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January 2026

Date:
19 Jan - 23 Jan
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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February 2026

Date:
16 Feb - 20 Feb
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5 days
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Nairobi
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KES 75,000 | $1,100
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March 2026

Date:
16 Mar - 20 Mar
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Nairobi
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KES 75,000 | $1,100
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April 2026

Date:
20 Apr - 24 Apr
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Nairobi
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KES 75,000 | $1,100
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May 2026

Date:
18 May - 22 May
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Nairobi
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June 2026

Date:
15 Jun - 19 Jun
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Nairobi
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KES 75,000 | $1,100
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July 2026

Date:
20 Jul - 24 Jul
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Nairobi
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KES 75,000 | $1,100
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August 2026

Date:
17 Aug - 21 Aug
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
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September 2026

Date:
21 Sep - 25 Sep
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
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October 2026

Date:
19 Oct - 23 Oct
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5 days
Location:
Nairobi
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KES 75,000 | $1,100
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November 2026

Date:
16 Nov - 20 Nov
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
Action:

December 2026

Date:
21 Dec - 25 Dec
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

January 2027

Date:
18 Jan - 22 Jan
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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February 2027

Date:
15 Feb - 19 Feb
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

March 2027

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15 Mar - 19 Mar
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5 days
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Nairobi
Standard Fee:
KES 75,000 | $1,100
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April 2027

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19 Apr - 23 Apr
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5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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May 2027

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17 May - 21 May
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Nairobi
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KES 75,000 | $1,100
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June 2027

Date:
21 Jun - 25 Jun
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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July 2027

Date:
19 Jul - 23 Jul
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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August 2027

Date:
16 Aug - 20 Aug
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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September 2027

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20 Sep - 24 Sep
Duration:
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Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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October 2027

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Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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November 2027

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Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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December 2027

Date:
20 Dec - 24 Dec
Duration:
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Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

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