
Learn to design QlikView dashboards from scratch by building a template for a food distributor. Apply data models, visualization best practices, subset analysis, and what-if scenarios to reveal trends.
Explore how QlikView's associative search links data across fields, revealing related selections in white and outliers in grey, and enables extended and expression-based insights for instant, cross-dataset discoveries.
discover how a QlikView designer connects to data sources, extracts and models data, builds the presentation layer, and publishes apps through the server and access point.
Explore the QlikView user interface—from the start page with demo apps, recent documents, and resources—to the five toolbars and settings such as save before reload.
Explore key performance indicators, dashboard analysis, and the application data model, including a star schema with a central fact table and surrounding dimensions.
Explore dimensional data modeling, star and snowflake schemas, and how dimensions and measures drive QlikView dashboards and data analysis.
Learn to download and install QlikView desktop by selecting 64-bit or 32-bit for your OS, in English. Follow steps for registration if needed and run the installer, a simple process.
Build a data model by loading dimensions (customers, products, employees, master calendar) and a fact table, forming a star schema linked by common fields such as order date.
Explore design basics for building a QlikView application, from binary load of a data model to crafting the layout, using list boxes with properties and embedded expressions.
Explore a QlikView application for an international distributor, featuring intro and how-to pages, dashboards of key performance indicators, selections, top performers, customer sheets, and a slider to test price impact.
Avoid chartjunk and non-data ink; pursue simplicity to convey clear insights from data. The caption emphasizes how unnecessary elements distract and waste dashboard space, urging minimalist designs.
Design the application template by building the introduction sheet and sheet objects, then construct a dashboard with filters, a search bar, bar chart, and straight table to monitor KPI.
Build a food sales dashboard by configuring a template, creating objects like calendar, list boxes, search, and current selection, and navigating properties and layout.
Create linked objects to synchronize global selectors and filters across multiple sheets, enabling real-time reflection of size, position, and data changes throughout the dashboard.
Learn how to choose the right chart for storytelling. Use bar charts for category comparisons, line charts for trends over time, and scatter/bubble charts to reveal relationships, all within dashboards.
Learn to build key performance indicators in QlikView using text objects and expressions to display current year versus prior year orders, sales, and margin, with conditional color formatting and variables.
Learn to design bar charts and scatter plot charts in QlikView to display sales by product category and explore the relationship between sales, margin, and quantity.
Create block chart showing margin by category and a pivot chart for sales, cost of goods sold, and profit by category and product, plus a scatterplot of sales and profit.
Explore dimension limits across charts, including top/bottom and cumulative options, then compare pie charts for percentage contribution and a straight table with expressions that display KPIs like margin and quantity.
Create a top 10 customers bar chart and a pie chart showing percent contribution by product category, using dimension limit to display only the largest customers with a zero baseline.
Create a straight table in QlikView with company name as the dimension, showing sales amount, margin, and quantity; add a mini chart for year-over-year trends and orders.
Explore set analysis basics in QlikView, including identifiers, operators, modifiers, dollar sign expansion, and the agur function, to perform advanced aggregation beyond the default state.
Add a multi box to consolidate sales filters, including country, product, and category, place a top salesperson filter, and display and sort sales amounts for clear, actionable insights.
Create a stacked bar chart of sales by category and quarter with color shading, then build a bubble chart showing customers and sales by each salesperson.
Create container objects to combine charts and a table in one navigable panel, then apply cyclic groups to switch dimensions and drill-down groups to reveal hierarchical details.
Create a container to hold a combo chart and another chart, using drill-down and cyclic groups to switch between sales person, customers, products, and orders, saving real estate.
learn to build a line chart with a time dimension year and category name, display sales trends, and add dynamic end labels for top categories using a minimal design.
learn to build a year over year sales comparison in QlikView using set analysis, creating current and previous year expressions, and color-code the deltas for each product.
Learn how to use alternate states to keep independent selections on the same dimensions for side-by-side comparative analysis, and create bookmarks (document, user, and server-shared) to save and share configurations.
Learn to use alternate states in qlikview to compare margin and sales between two groups, displaying dynamic group 1 versus group 2 values with responsive text boxes.
Learn to use if statements in QlikView to display up or down arrows for trends and toggle between bar and pivot charts that compare group 1 and group 2.
Learn to toggle between a bar chart and a pivot table using conditional show and set variable actions, changing base color and borders to reflect the active tab.
Create and use bookmarks to save frequent selections in QlikView, a time saver that gives quick access to predefined views such as beverages, condiments, and seafood.
Create dynamic bookmarks in QlikView to filter current selections by sales above 50,000 and profit margin above 57%, using an inline table, triggers, and bookmark apply logic.
Apply what-if analysis by using a price-change variable and a slider to visualize how price changes impact revenue in real time, showing current, future, and change.
Build a smart filter panel with category, country, salesperson, order date, using a linear gauge and descending values. Enable dropdowns to help analysts navigate data quickly and gain meaningful insights.
Learn visualization best practices for clear data-driven design: bar charts with zero baselines and horizontal labels, minimal colors, and pies, lines, and scatter plots for trends and part-to-whole insights.
Build a QlikView heat map extension using SVG, load the world map, and visualize country sales with interactive popups and ISO country codes.
Hi there! You may be a business analyst and asked to design your first QlikView application. Or, you may have already enrolled in my QlikView developer course and wondering how to create an application using the same data model that we built together in the developer course.
Whatever may be the reason, QlikView designer course will definitely make you an awesome, well-rounded QlikView Designer.
If you are still wondering, let not your heart be troubled.
Let me breakdown reasons for you to become a QlikView designer.
If you answered 'yes' to any of these questions, then this course is for you!
QlikView is growing rapidly. With over 30,000 customers, demand for skilled QlikView developers and designers is higher than ever before!
We will begin with a template and build an application step-by-step together. I will teach each concept before the hands-on session to make it easier to learn.
At the end, if you follow all the concepts and get your feet wet(so to speak), I promise that you will be an awesome QlikView Designer.
So, what are you waiting for? Enroll now...