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
Requirements
Windows operating system Laptop or Computer
No Programming Experience needed
Description
Introduction of Qliksense | Practical Masterclass QliksenseYou will be learning in this course - How to download Qliksense Desktop. - Creating first Qliksense AppBasic 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 PropertiesSorting over different parameter, General properties, Labels, Title, Add-ons, Appearance, Alternate state, Presentations. Styling, -Data ConnectionsThe 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
Overview
Section 1: Introduction
Lecture 1 How to download Qliksense Desktop
Lecture 2 Create first App
Lecture 3 Resources to download
Section 2: Basis App creation
Lecture 4 Data Connections
Lecture 5 Chart creation ( Aggregation functions )
Lecture 6 Chart functions (case statement, match() )
Lecture 7 Chart function (case statement, wildmatch('*',), aggr())
Lecture 8 Chart properties: Data
Lecture 9 Chart Properties: Sorting
Lecture 10 Chart properties: Add ons
Lecture 11 Chart properties: Appearence
Lecture 12 Chart Properties: X and Y axis parameters and Tooltip
Section 3: Data Loading
Lecture 13 Data Loading Types
Lecture 14 Loading Data from File
Lecture 15 Add load
Lecture 16 Resident Load
Lecture 17 Binary Load
Lecture 18 Buffer Load
Lecture 19 Incremental Load
Lecture 20 Inline Load
Section 4: On load Data Modification
Lecture 21 Qliksense Default variables
Lecture 22 Loading on Condition
Lecture 23 String Functions
Lecture 24 File Detail functions
Lecture 25 Date Functions
Section 5: App previews and Apperance
Lecture 26 Navigation App preview
Lecture 27 App capabilities, Appearence, Sheet title style
Lecture 28 Navigate Sheet Properties< delete, duplicate, save sheet as pdf
Section 6: Data Joins in Qliksense
Lecture 29 QlikSense default join
Lecture 30 Qliksense Joins
Lecture 31 Keep join in Qliksense
Lecture 32 Interval Match In Qliksense
Lecture 33 Synthetic keys in Qliksense
Lecture 34 ApplyMap in Qliksense
Lecture 35 Debugging in Qliksense
Section 7: Assets
Lecture 36 Fields
Lecture 37 Fields: Create Dimension
Lecture 38 Fields: Create Measure
Lecture 39 Fields: Create calendar, Field settings
Lecture 40 Master Dimention
Lecture 41 Master Measures
Lecture 42 Master visualization
Lecture 43 Alternative States
Lecture 44 General useful charts
Section 8: Right chart type for right Data
Lecture 45 Chart types for the given Data
Section 9: Loops in Qliksense
Lecture 46 Create loop to get data from list
Section 10: Set Analysis in Qliksense
Lecture 47 Set analysis basic conditions
Lecture 48 Identifiers in Set analysis
Lecture 49 Set Operators analysis
Section 11: Qliksense Course Completion
Lecture 50 Expressing Gratitude and Offering Support
Business Analyst,Data Analyst,BI developer,Analyst,Graduates,All who want to be Data Analyst, Business Analyst or Analyst


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