Discover Data Analysis with Qlik Sense : Level 1 – Qlik Sense Designer

52,00 

This course focuses on enabling learners to become proficient Qlik Sense designers, capable of creating interactive visualizations, building data models, and generating insightful reports to gain valuable business insights from their data.

Through hands-on exercises and practical examples, attendees will develop a solid foundation in Qlik Sense and its essential features, setting the stage for more advanced data analysis capabilities.

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Start date

May 2, 2024

End date

May 3, 2024

Language(s) of the training

English

Languages spoken by the coach(es)

English, French

Instructor(s)

Alex Pierard

Contents

  • Advantage of Qlik’s Associative Model
  • Connection to data files (Excel, CSV)
  • Qlik Data Manager Assistant
  • Basic data load scripting (extraction / transformation / loading)
  • Associative modeling
    Development of charts : tables / graphs / maps / filters …
  • Standard and calculated dimensions
  • Standard measures and Set Analysis
  • Master items for re-use of dimensions and measures
  • Variables
  • Customization of the presentation layer
  • Best practices

Objective

  • Introduction to Qlik Sense: Understand the key features and capabilities of Qlik Sense as a data analysis and visualization tool.
  • Data Loading and Data Modeling: Learn how to import and transform data from various sources, and create efficient data models for analysis.
  • Creating Visualizations: Master the art of building interactive and visually appealing charts, graphs, and other data visualizations to represent insights effectively.
  • Exploring Data Insights: Discover how to navigate and interact with data visualizations to derive meaningful insights and identify trends in the data.
  • Designing Dashboards and Reports: Gain proficiency in creating interactive dashboards and reports that provide a holistic view of data analysis results.
  • Collaboration and Sharing: Understand the methods for sharing and collaborating on Qlik Sense apps with other users and stakeholders.
  • Best Practices in Qlik Sense Design: Learn industry best practices and design principles for creating effective and user-friendly Qlik Sense applications.

Learning Outcomes

The learning outcomes are:

  • Qlik Sense Proficiency: Gain a solid understanding of the Qlik Sense platform, its interface, and navigation, becoming proficient in using the tool.
  • Data Loading and Transformation: Learn to import data from various sources, clean and transform it for analysis, and establish data relationships for efficient data modeling.
  • Visualization Creation: Develop the ability to create diverse and interactive data visualizations, including charts, graphs, and tables, to effectively represent insights.
  • Data Exploration and Analysis: Explore data and identify trends, patterns, and correlations using filters, selections, and basic data analysis functions to derive meaningful insights.
  • Dashboard Design: Acquire skills to design informative and user-friendly dashboards that present data analysis results cohesively, aiding data-driven decision-making.
  • Sharing and Collaboration: Understand how to securely share Qlik Sense applications with others and collaborate within the Qlik Sense environment to foster effective teamwork.

By the end of this course, participants will have a strong foundation in Qlik Sense and be capable of using the tool to load, manipulate, and visualize data, empowering them to make data-driven decisions and effectively communicate insights to stakeholders.

Schedule

This training has a total duration of 13 hours and takes place over 2 days:

  • 02-05-2024: 09:00 – 16:30
  • 03-05-2024: 09:00 – 16:30

Format and Location

This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette

Level

Beginner

Prerequisites

Basic knowledge of databases and MS Excel

Additional Info

This module is part of the Become a Business Intelligence Specialist

Certification

This training does not have any assessment or exams; a certificate of participation will be issued to participants.

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