QlikSense Data Visualization Base and Advanced Level - Dvanalytics
dvanalytics whatsapp contact
dvanalytics whatsapp

QlikSense Data Visualization Base and Advanced Level


    Qlik Sense Desktop is a Windows application that gives individuals the opportunity to use Qlik Sense and create personalized, interactive data visualizations, reports, and dashboards from multiple data sources with drag-and-drop ease.

    Course Curriculum

    Session - 1
    Get familiar to Qlik Sense environment 00:00:00
    • What is Qlik Sense and how does it works
    • QlikSense for desktop and installation
    • Opening QlikSense Desktop
    • Opening App
    • Sheet View
    • Data loading in Qlik Sense
    • Creating a new app
    • Data loading from flat files
    • Adding connections
    • ODBC data connection
    • OLEDB data connection
    • Editing the data load script
    • Debugging the load script Combining tables with Join and Keep
    • Join |Using Join| Keep| Inner| Left| Right
    Using inter-record functions
    • Peek| Previous| Exists| UsingPeek() and Previous()| UsingExists() Transforming data
    • Preceding Load | resident Load |Concatenation |Synthetic Key | Circular Reference
    • Using Data
    • Creating a sheet | Adding a chart |Adding dimensions and measures
    • Creating QVD files
    Session - 2
    Advanced Data Visualization and story telling dashboard 00:00:00
    • Visualization in app
      • Measures and dimensions
    • ¬†Visualizations
      • Filter Panes, Pie Chart, Bar Chart, Combo Chart
      • Text and Image Chart, Gauge, Line Chart, Treemap
    • Making selections
      • Click Selection
      • Draw Selection
      • Range Selection
      • Lasso Selection
      • Legend Selection
      • Label Selection
    • Selection States
      • Green, White and Gray
      • Making the first selection
      • Selecting regions and product type
      • The excluded values
      • Selected excluded values
      • Stepping back in the selection history
    • Storytelling
      • Creating simple story and switching between data storytelling and the app context