Qliksense Practical Masterclass [A:Z]

From App creation to Data Architecture

Ratings 4.14 / 5.00
Qliksense Practical Masterclass [A:Z]

What You Will Learn!

  • Ability to Navigate and Use the QlikSense Platform
  • Develop and Design Effective Analytical Dashboards
  • Understand Data Modelling and Transformation
  • Utilize Advanced Analytics Techniques

Description

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 Should Attend!

  • Business Analyst
  • Data Analyst
  • BI developer
  • Analyst
  • Graduates
  • All who want to be Data Analyst, Business Analyst or Analyst

TAKE THIS COURSE

Tags

  • Data Analysis
  • Data Visualization
  • Qlik Sense

Subscribers

29

Lectures

69

TAKE THIS COURSE



Related Courses