Qlik Sense Training

This section covers all the concepts of Data manager which allow you to add data from multiple sources such as Qlik data market or device files, and also, you can enter data directly in the app as an inline data. After adding, the data manager helps you to understand the connections between tables.  

Topics covered in this section are: 

• Adding a new data table and connecting a new data source
• Loading the data from the source and web file 
• Manual entry and file locations  
   

The app overview helps us to manage complete information on an app in Qlik Sense. 
 
Topics covered in this section are: 

• Title and description 
• Settings 
• Bookmarks and stories

This section deals with the concept of editing tables. This module covers all concepts associated with the table editing process. This feature in Qlik Sense enables you to make modifications to the data in the data manager overview.  
 
Topics covered in this section are: 

• Modifying the field types 
• Assessing table field data 
• Cross Tab Un-pivot 
• Calculated fields

In Qlik Sense, a data load editor acts as a connector between the app and data source. Data load editor loads data from a data source to the app. You can create, edit and run data using data load editor.  

Topics covered in this section are: 

• Data connections and debug
• Loading and storing the data 
• QVD files, a process to create QVD files
• Reading data from the QVD files
   

The filter is used to gain deeper and fresh insights out of data. Filters in Qlik Sense allow you to dive deep into the data. 

Topics covered in this section are: 

• Where class 
• And or Options 
• Conditions to group by and samples group by
   

This section deals with the Joins concept and their importance in Qlik Sense. Joins make associations between the tables. This association process would reduce the space in memory, improves speed, and makes it highly flexible.   

Topics covered in this section are: 

• Introduction to joins 
• Left, right, inner, and outer joins 
   

Data model viewer in Qlik Sense is designed to provide you a complete overview of the app's data structure. By using this you can precisely view the data which is present in the form of fields and tables. You will also be able to create measures and dimensions from the data fields present in the app. 

Topics covered in this section are: 

• Source table view 
• Internal table view 
• Preview of table 
• Subset ratio and information density 
   

In this module, you will gain expertise in how to visualize the data in different ways for different purposes using charts. By using charts in Qlik Sense users can easily understand or analyze the data in a precise way. 

Topics covered in this section are: 

• Filter pane, bar, line, combo, pivot, and table 
• Text & image, KPI, Gauge, waterfall, Histogram, and treemap 
• Distribution plot, scatter, pie, and map 
   

This section deals with Master Items (MI). These features support the sale-service environment by enabling the app owner or developer to customize a set of predefined and reusable measures, visualizations, and dimensions.  

Topics covered in this section are: 

• Master Dimension, master measure, and master visualization   
• Master visualization, and Alternate states 

In Qlik Sense, synthetic keys are the unidentified fields that mainly represent all the occurrence of two or more composite keys in a combination.

Topics covered in this section are: 

• Introduction to Synthetic key & process to create synthetic key
• Remove synthetic key and introduction to circular reference 
• The process to remove a circular reference 

Master calendar in Qlik Sense is the dimensional table (time attributes and time period) which acts a superior in establishing links to a date in the data. You can analyze data by different time dimensions using a master calendar with the existing data set. 

Topics covered in this section are: 

• Calendar creation
• Purpose 
• Date & time functions 

Variable is used as a container to store the values. The benefit of using the variable in Qlik Sense is that if any modifications are made to a particular variable, the same is applied everywhere the variable is used. This reduces the efforts of the user and provides a convenient way while execution.

Topics covered in this section are: 

• What is variable and its usage 
• SET and LET 
• MTD & YTD concepts 

In this module, you will come to know how to evaluate the condition and return the result based on it by using conditional expressions. These expressions make the code length short and execution easier.

Topics covered:

• If else 
• Nested if

This section deals with SET Analysis in Qlik Sense which is used for making comparisons between different sorts of products by year-wise, month-wise, or date-wise. By using set analysis you can define a way for grouping the data values that are different from the current normal set.

Topics covered in this section are: 

• Introduction to SET Analysis 
• Use and Syntax
• Direct and Indirect SET

The data model in Qlik Sense provides you with a precise step by step procedure of how to load the data into Qlik Sense. This model is mainly used to associate data by identifying similar fields from various tables.  

Topics covered in this section are: 

• Introduction Concentration and types of concentration 
• Resident Load inline Load 
• Creating a data model with sample data

This section deals with optimized and non-optimized load concepts. The Optimized load reads chunks of files at a time whereas the unoptimized one reads one record at a time.  

Topics covered in this section are: 

• Concepts of optimization 
• Apply Map 
• Keep 

An incremental load is a way to simply attaching new records or updation of new files in an existing QlikView data file.   

Topics covered in this section are: 

• Introduction and usage 
• Insert only, insert update and insert update and delete

The section access can be used in the data load script to manage security. This enables a single file to hold data for a various number of user groups or users. 

Topics covered in this section are: 

• Concept of section access 
• The need for section access 
• Types of Section access 
• Document-level, data level 

The Dev Hub contains a number of tools that include Single configurator, Extension editor, Mashup editor, Widget editor, Engine API explorer, and QlikView converter. All these editing tools together will make the visualization process effective.  
 
Topics covered in this section are: 

• Introduction
• Extension editor 
• Qlikview converter 
• Mashup Intro

Mindmajix offers advanced Qlik Sense interview questions and answers along with Qlik Sense resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.