Qlik Sense Developer: Empower Your Analysis!

Learn to load a base in Qlik Sense using Data Manager, create connections to an Access database, select charts, preload data, and build and verify an associated data model.

Learn how the Qlik Sense script editor translates data loading and associations into code, and how to manage connections, loads, field renaming, and master calendar concepts.

Explore how to build revenue visualizations in qlik sense using a table and filter panel, with year and division dimensions and a gross revenue measure (quantity times unit price).

Create and reuse master items in Qlik Sense for measures, dimensions, and visualizations to replicate customized analytics across apps, using gross revenue as the example.

Add and customize bar charts in Qlik Sense, choosing vertical or horizontal layouts, with country as the dimension and gross revenue as the measure, and adjust labels, colors, and axes.

Explore SAP analysis as a set analysis that applies filters to all fields and measures, and learn how to use intersection, union, and exclusion to refine results.

Explore KPI with set analysis in Qlik Sense, counting distinct customers and applying set analysis filters to regional and most recent year contexts for dynamic dashboards.

Explore operating between columns in Qlik Sense to calculate gross revenue, discounts, unit costs, and net revenue, using measures and expressions for accurate profitability analyses.

Use the load editor to connect to data sources, load Excel files, and create data tabs like suppliers. Resolve synthetic keys and circular references by qualifying fields and prefixes.

Learn how QED files optimize time, space, and load speed. Filter data with a where clause and export as a QED file.

Create and customize a pie chart in Qlik Sense, using categories as the dimension and gross revenue as the measure to show category participation, including color, labels, and donut options.

Install PostgreSQL, create a dedicated database and a sales objectives table, then import csv data to populate and preview records for analysis.

learn to load database data into the application by creating an odbc connection, generating load scripts, and visualizing the data model with relationships to orders and employees.

Discover how pivot tables in Qlik Sense enable dynamic analysis of sales objectives and gross revenue by country, employee, and time, using dimensions, measures, and filters.

Apply conditional if-else expressions in Qlik Sense to drive color coding based on data thresholds. Build nested conditions to color values red, green, or black and background and text colors.

Explore tree maps to visualize data distribution by employee, counting distinct customers, filtering out unassociated customers, and using color by measure with hierarchical country dimensions to reveal client-driven revenue.

Thank you to everyone who completed activities and attended, revealing the potential of Qlik Sense and business intelligence; use the forum for questions and explore related tools like Access.