Qliksense Training

Drag-and-drop visualization, Qlik Data indexing engine, data dimensions relationships, connect to multiple data sources, creating your own dashboards, data visualization, visual analytics and the ease of collaboration

Hands-on Exercise: Connect to a database or load data from an Excel file and create a dashboard

Understand data modeling, best practices, turning data columns into rows, converting data rows into fields, hierarchical-level data loading, loading new or updated data from database, using a common field to combine data from two tables and handling data inconsistencies

Hands-on Exercise: Turn data columns into rows, convert data rows into fields, load the data in hierarchical level, load new or updated data from database and use a common field to combine data from two tables

Qlik Sense data architecture, understanding QVD layer, converting QlikView files to Qlik Sense files and working on synthetic keys and circular references

Hands-on Exercise: Convert QlikView files to Qlik Sense files and resolve synthetic keys and circular references

Qlik Sense star schema, link table, dimensions table, master calendar, QVD files and optimizing data modeling

Hands-on Exercise: Create a Qlik Sense star schema, create link table, dimensions table, master calendar and QVD files

Qlik Sense enterprise class tools, Qlik Sense custom app, embedding visuals, rapid development, powerful open APIs, enterprise-class architecture, Big Data integration, enterprise security and elastic scaling

Learning about Qlik Sense visualization tools, charts and maps creation, rich data storytelling and sharing analysis visually with compelling visualizations

Hands-on Exercise: Create charts and maps, create a story around dataset and share analysis

Understanding set analysis in Qlik Sense, various parts of a set expression like identifiers, operators, modifiers and comparative analysis

Hands-on Exercise: Do Set Analysis in Qlik Sense, use set expressions like identifiers, operators, modifiers and comparative analysis

Learning about set analysis which is a way of defining a set of data values different from normal set, deploying comparison sets and point-in-time analysis

Hands-on Exercise: Deploy comparison sets and perform point-in-time analysis

Introduction to various charts in Qlik Sense like line chart, bar chart, pie chart, table chart and pivot table chart and the characteristics of various charts

Hands-on Exercise: Plot charts in Qlik Sense like line chart, bar chart, pie chart, table chart and pivot table chart

Understanding what is a KPI chart, gauge chart, scatter plots chart and map chart/geo map

Hands-on Exercise: Plot a KPI chart, gauge chart, scatter plots chart and map chart/geo map

Introduction to the Qlik Sense Master Library, its benefits, distinct features and user-friendly applications

Hands-on Exercise: Explore and use Qlik Sense Master Library

Understanding how to do storytelling in Qlik Sense and the creation of storytelling and story playback

Hands-on Exercise: Use the storytelling feature of Qlik Sense, create a story and playback the story

Understanding mashups in Qlik Sense, creating a single graphical interface from more than one sources, deploying the mashups flowchart, testing of mashups and the various mashup scenarios like simple and normal

Hands-on Exercise: Create a single graphical interface from more than one sources, deploy the mashups flowchart and test mashups

Understanding the Qlik Sense Extension, working with it, various templates in Qlik Sense Extension, testing of it, making Hello World dynamic and learning how it works and adding a preview image

Hands-on Exercise: Work with Qlik Sense Extension, use a template in Qlik Sense Extension and test it, make Hello World dynamic and add a preview image

Various security aspects of Qlik Sense, content security, security rules, various components of security rules and understanding data reductions and dynamic data reductions and the user access workflow

Hands-on Exercise: Create security rules in Qlik Sense and understand data reductions and dynamic data reductions and the user access workflow