Qliksense Practical Masterclass [A:Z]

Qliksense Practical Masterclass [A:Z] | Udemy
English | Size: 2.56 GB
Genre: eLearning

From App creation to Data Architecture

What you’ll learn
Ability to Navigate and Use the QlikSense Platform
Develop and Design Effective Analytical Dashboards
Understand Data Modelling and Transformation
Utilize Advanced Analytics Techniques

Introduction of Qliksense | Practical Masterclass Qliksense

You will be learning in this course

– How to download Qliksense Desktop.

– Creating first Qliksense App

Basic App creation

-Chart creation

– Data, Columns, Measures, chart functions. if statement, Match function, and , or

Count, Sum, Average, Min, Man aggregation functions. Formatting Styles.

– chart Properties

Sorting over different parameter, General properties, Labels, Title, Add-ons, Appearance, Alternate state, Presentations. Styling,

-Data Connections

The method of getting Data from Different Sources and files.

-Chart Suggestions QlikSense.

Data Loading section:

Loading types, Add load, Binary load, Buffer Load, Incremental load, Inline load, Loading Data from File, Resident Load

Data Modification section:

Qlik Sense default variables, Loading on Condition, String Functions, File Data, Date functions, Navigation, Exists, Column conditional change.

Sheet and App properties.

Adding background picture, Different Themes, Title and color patter usage for App title, Sheet extension, sheet properties, Duplication, or modification of sheet properties.

Data joins in QlikSense section:

QlikSense Default load, Left join, Right join, Inner join, Outer Join , Keep , Interval match, Sintetic keys, Apply map, Debugging , Load part of total Data,Difference between join Types. Data Model Viewer.

Data Visualization section:

Fields, Dimensions, Measures, Objects, Assets, Values, Sheet Properties , App properties, Alternate State, Master Items explanations. Color pattern usage, drill down values, Labels, X, Y axis, On conditions changes.

Right chart type for right Data:

The main aspect and method to show the right Data.

Charts section:

Line, Bar, Container, Table, Pie, Heatmap, Stacked Bar chart, Filters, Pivot Table,

Set analysis section:

Identifiers, Operator, Modifiers

Who this course is for:
Business Analyst
Data Analyst
BI developer
Analyst
Graduates
All who want to be Data Analyst, Business Analyst or Analyst