Course Introduction
The Qlik Sense Data Analytics and Dashboard Development Training Course provides comprehensive, practical training for professionals who need to build interactive analytics applications, transform source data, develop meaningful visualizations, and deliver business-focused dashboards with Qlik Sense. The course introduces the Qlik associative analytics approach and shows participants how selections made in one visualization can affect associated visualizations across an application, enabling users to investigate relationships and discover patterns interactively.
Participants learn how to connect Qlik Sense applications to diverse data sources, including spreadsheets, flat files, databases, cloud platforms, web-based sources, REST APIs, and other supported connectors. The training covers both Data Manager and the Data Load Editor so learners can choose appropriate approaches for straightforward data preparation as well as more sophisticated scripted loading and transformation. Qlik documentation describes Data Manager as a way to add and manage data without scripting, while the Data Load Editor supports more complex data-loading and transformation requirements.
A major focus of the course is Qlik Sense data modeling and load scripting. Participants learn how to create useful analytical structures, understand associations between fields and tables, identify synthetic keys and circular relationships, and use script statements to clean, transform, concatenate, aggregate, and reshape source data. The course emphasizes designing models deliberately because Qlik Sense uses common field names to establish associations between tables, making field naming and model structure important considerations for analytical accuracy and usability.
The dashboard development component focuses on turning modeled data into intuitive, interactive analytical applications. Participants learn to create charts, tables, KPIs, filters, selections, text and image components, containers, and other visualization objects while applying appropriate dimensions and measures. Qlik Sense applications use visualizations to explore loaded data, and selections made within visualizations are reflected across associated visualizations, providing the foundation for interactive exploratory analysis.
The course also develops advanced expression and analytics skills, including aggregation functions, conditional expressions, variables, reusable master items, and set analysis. Set analysis allows developers to define an analytical scope that differs from the current selection, supporting use cases such as prior-year comparisons, fixed-period metrics, market-share calculations, and other business comparisons. Participants learn how to combine these techniques to create dynamic measures and dashboards that answer practical business questions.
Performance, usability, maintainability, and deployment considerations are integrated throughout the program. Participants learn to structure load scripts into logical sections, validate data models, reduce unnecessary complexity, reuse dimensions and measures, troubleshoot expression and association issues, and optimize dashboard design. The final project brings these skills together in a complete Qlik Sense analytics application, taking participants from source data and transformation through modeling, visualization, interactive analysis, and presentation of business insights.
Duration
5 days
Who Should Attend
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Data analysts who want to develop interactive dashboards and analytical applications using Qlik Sense.
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Business intelligence professionals responsible for creating governed and self-service analytics solutions.
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Qlik Sense developers who want to strengthen their data modeling, scripting, visualization, and dashboard development skills.
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Business analysts who need to transform operational data into interactive analytical applications for decision support.
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Data visualization professionals developing executive dashboards, KPI reporting, and interactive business intelligence solutions.
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Reporting specialists who want to replace static reports with associative and exploratory Qlik Sense applications.
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Data engineers who need practical knowledge of Qlik Sense loading, transformation, scripting, and analytical data modeling.
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BI developers transitioning from other analytics platforms and seeking hands-on Qlik Sense development experience.
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Database professionals who want to understand how source structures can be transformed into effective Qlik Sense data models.
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Analytics engineers responsible for preparing reusable datasets and business metrics for self-service analytics users.
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Managers and technical leads overseeing Qlik Sense dashboard development and analytics delivery projects.
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Professionals seeking practical, hands-on training in Qlik Sense data analytics, visualization, and dashboard development.
Course Objectives
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Develop practical proficiency in Qlik Sense for connecting to data, building analytical applications, creating visualizations, and delivering interactive business dashboards.
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Understand the Qlik associative selection model and use selections, associations, and exploratory analysis techniques to investigate business data effectively.
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Connect Qlik Sense to multiple data sources and determine when to use Data Manager, Data Load Editor, or scripted loading approaches for different requirements.
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Build reliable Qlik Sense data models by managing associations, field names, table structures, keys, synthetic keys, circular references, and appropriate analytical granularity.
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Create and maintain data load scripts that extract, transform, cleanse, aggregate, concatenate, and prepare source data for efficient analytical consumption.
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Develop effective dimensions, measures, master items, calculated expressions, and reusable analytical components for consistent dashboard development.
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Create interactive dashboards using appropriate visualizations, filters, KPIs, tables, selections, containers, and user-focused navigation techniques.
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Apply advanced expressions and set analysis to create dynamic metrics, comparative analyses, period-based calculations, and business-specific analytical measures.
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Troubleshoot data loading, modeling, expression, visualization, and performance problems while applying structured development and validation practices.
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Complete an end-to-end Qlik Sense analytics project that transforms source data into a validated data model, interactive dashboard, and business-ready analytical application.
Comprehensive Course Outline
Module 1: Qlik Sense Fundamentals and Associative Analytics
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Understanding Qlik Sense architecture, applications, sheets, visualizations, selections, associations, and the associative analytics approach to interactive data discovery.
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Exploring the Qlik Sense user interface and understanding how developers and business users interact with applications, selections, filters, charts, and analytical objects.
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Learning how selections propagate across associated data and how the associative model enables users to investigate related, excluded, and alternative values.
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Establishing effective dashboard development principles around business questions, user requirements, analytical workflows, navigation, and information hierarchy.
Module 2: Connecting to and Loading Data
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Connecting Qlik Sense applications to spreadsheets, CSV files, databases, cloud platforms, web sources, REST APIs, and other supported data sources.
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Using Data Manager to add data, manage tables, establish associations, review data structures, and perform straightforward preparation tasks without extensive scripting.
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Using the Data Load Editor to create, edit, organize, debug, preview, and execute load scripts for more advanced data-loading requirements.
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Designing appropriate extraction strategies that balance source-system capabilities, data volumes, refresh requirements, transformation complexity, and analytical objectives.
Module 3: Qlik Sense Data Modeling and Associations
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Understanding how Qlik Sense identifies common fields and creates associations between tables to support interactive exploration across related datasets.
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Designing logical data models while managing keys, field naming, granularity, table structures, and relationships between transactional and reference information.
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Identifying and resolving synthetic keys, circular references, ambiguous associations, duplicated fields, and other modeling issues that can affect analytical behavior.
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Using the Data Model Viewer to inspect tables, fields, associations, and model structures before building dashboards and business-facing visualizations.
Module 4: Qlik Load Scripting and Data Transformation
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Writing Qlik load scripts using LOAD, SELECT, WHERE, GROUP BY, resident loads, preceding loads, and other commonly used scripting techniques.
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Transforming source data through field renaming, data-type handling, conditional logic, aggregation, filtering, concatenation, and calculated fields during the loading process.
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Organizing scripts into logical sections and applying naming, commenting, indentation, and sequencing practices that improve readability and maintainability.
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Debugging scripts, previewing loaded data, interpreting execution messages, and validating transformations before making data available for dashboard analysis.
Module 5: Dimensions, Measures, Master Items, and Expressions
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Creating dimensions that determine how information is grouped within visualizations and selecting appropriate fields for categorical, geographic, hierarchical, and time-based analysis.
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Developing measures using aggregation functions and expressions to calculate sales, revenue, quantities, counts, averages, margins, ratios, and other business metrics.
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Creating reusable master dimensions and master measures to standardize commonly used analytical components across multiple visualizations and application sheets.
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Developing expression logic with Qlik functions, variables, conditional calculations, and dynamic expressions to support flexible and business-oriented analytics.
Module 6: Visualization and Dashboard Development
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Building effective bar charts, line charts, combo charts, KPI objects, tables, pivot tables, scatter plots, treemaps, maps, and other Qlik Sense visualizations.
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Selecting appropriate dimensions and measures for each visualization while ensuring that charts communicate meaningful comparisons, trends, distributions, and relationships.
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Designing sheets with consistent layout, navigation, filtering, titles, labels, tooltips, formatting, and visual hierarchy for different categories of business users.
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Creating interactive dashboards that allow users to make selections and explore associated data across multiple visualizations and sheets.
Module 7: Advanced Expressions and Set Analysis
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Understanding how current selections influence aggregation results and learning when standard aggregation behavior should be modified for specific analytical requirements.
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Creating set expressions using identifiers, modifiers, operators, and alternative scopes to perform advanced comparisons and selection-independent calculations.
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Building period-over-period, prior-year, fixed-category, market-share, target, benchmark, and other comparative measures using set analysis techniques.
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Combining set analysis with variables, aggregation functions, conditional logic, and dashboard controls to create dynamic and reusable analytical calculations.
Module 8: Advanced Dashboard Interactivity and Analytics
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Designing interactive applications with selections, filters, buttons, navigation elements, containers, bookmarks, and other controls that support efficient user exploration.
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Developing drill-down and cyclic dimensions to allow users to move between different levels or perspectives of analysis within the same visualization.
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Applying reusable master dimensions, master measures, and visualization components to improve consistency and reduce repeated dashboard development effort.
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Incorporating advanced analytical interactions that help users investigate trends, exceptions, segments, KPIs, and relationships without requiring separate static reports.
Module 9: Performance Optimization, Troubleshooting, and Best Practices
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Optimizing data models by reducing unnecessary fields, improving associations, controlling data granularity, and performing transformations efficiently during the load process.
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Troubleshooting script failures, incorrect associations, synthetic keys, circular references, unexpected aggregations, incorrect expressions, and dashboard calculation problems.
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Structuring load scripts into maintainable sections and applying reusable variables, consistent naming, comments, and development conventions for long-term application support.
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Reviewing dashboard performance and usability by reducing unnecessary complexity, optimizing visualizations, and ensuring analytical objects support rather than obstruct business workflows.
Module 10: End-to-End Qlik Sense Analytics and Dashboard Project
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Designing a complete Qlik Sense application beginning with multiple source datasets and developing a structured strategy for extraction, transformation, association, and analytical modeling.
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Building and validating the Qlik load script, resolving data-quality and modeling issues, and creating a reliable analytical data structure for business users.
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Developing an interactive dashboard containing KPIs, trend analysis, dimensional comparisons, detailed tables, advanced measures, filters, selections, and set-analysis calculations.
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Presenting the completed application and demonstrating data-model decisions, dashboard design, analytical calculations, performance considerations, and recommended practices for ongoing maintenance.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
