Qliksense Practical Masterclass [A:Z]

Focused View

Mahammad Yagubli

5:45:22

67 View

1 - Introduction

1 - How to download Qliksense Desktop.mp4

04:54

1 - QlikSense Desktop and Hub.html

2 - Create first App.mp4

07:14

2 - How we can reload Data to our App.html

3 - Add-load-example.xlsx

3 - Data.xlsx

3 - Resources to download.html

3 - Sales-with-dates.xlsx

3 - data.zip

3 - sales.xlsx

3 - txt.txt

2 - Basis App creation

4 - Data.xlsx

4 - Data Connections.mp4

05:59

5 - Chart creation Aggregation functions.mp4

05:16

6 - Chart functions case statement match.mp4

09:39

7 - Chart function case statement wildmatch aggr.mp4

06:14

8 - Chart properties Data.mp4

10:00

9 - Chart Properties Sorting.mp4

04:22

10 - Chart properties Add ons.mp4

05:39

11 - Chart properties Appearence.mp4

09:44

12 - Chart Properties X and Y axis parameters and Tooltip.mp4

09:09

3 - Data Loading

13 - Data Loading Types.mp4

05:34

13 - Data-Loading-types.pptx

14 - Loading Data from File.mp4

04:59

15 - Add load.mp4

04:42

16 - Resident Load.mp4

07:51

17 - Binary Load.mp4

06:13

18 - Buffer Load.mp4

03:31

19 - Incremental Load.mp4

15:08

20 - Inline Load.mp4

05:42

4 - On load Data Modification

21 - Qliksense Default variables.mp4

10:15

22 - Loading on Condition.mp4

12:11

23 - String Functions.mp4

19:11

24 - File Detail functions.mp4

08:20

25 - Date Functions.mp4

16:05

5 - App previews and Apperance

26 - Navigation App preview.mp4

10:22

27 - App capabilities Appearence Sheet title style.mp4

03:30

28 - Navigate Sheet Properties delete duplicate save sheet as pdf.mp4

04:53

6 - Data Joins in Qliksense

29 - QlikSense default join.mp4

05:42

29 - Qliksense-default-join-principles-Copy.txt

30 - Data-source.txt

30 - Qliksense Joins.mp4

05:04

31 - Data-source.txt

31 - Keep join in Qliksense.mp4

02:56

32 - Interval Match In Qliksense.mp4

05:05

32 - Interval-match.txt

33 - Synthetic keys in Qliksense.mp4

04:17

34 - ApplyMap in Qliksense.mp4

04:36

35 - Debugging in Qliksense.mp4

02:39

7 - Assets

36 - Fields.mp4

01:56

37 - Fields Create Dimension.mp4

10:01

38 - Fields Create Measure.mp4

11:08

39 - Fields Create calendar Field settings.mp4

07:05

40 - Master Dimention.mp4

05:31

41 - Master Measures.mp4

05:23

42 - Master visualization.mp4

05:35

43 - Alternative States.mp4

05:56

44 - General useful charts.mp4

07:56

8 - Right chart type for right Data

45 - Chart types for the given Data.mp4

07:23

9 - Loops in Qliksense

46 - Create loop to get data from list.mp4

07:58

10 - Set Analysis in Qliksense

47 - Set analysis basic conditions.mp4

05:47

48 - Identifiers in Set analysis.mp4

06:46

49 - Set Operators analysis.mp4

10:01

11 - Qliksense Course Completion

50 - Expressing Gratitude and Offering Support.html

Description

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

Who is this for?

Business Analyst

Data Analyst

BI developer

Analyst

Graduates

All who want to be Data Analyst, Business Analyst or Analyst

What You Need to Know?

Windows operating system Laptop or Computer

No Programming Experience needed

More details

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,Â Â chart functions. if statement, Match function, and , or
Count, Sum, Average, Min, Man aggregation functions. Formatting Styles.
- chart Properties
Sorting over different parameter,Â General properties,Â Labels, Title,Â Add-ons, Appearance,Â Alternate state, Presentations. Styling,
-Data Connections
The method of getting Data from Different Sources and files.
-Chart Suggestions QlikSense.

Data LoadingÂ section:
Loading types,Â Â Add load,Â Binary load, Buffer Load, Incremental load, Inline load, Loading Data from File, Resident Load

Data ModificationÂ section:
Qlik Sense default variables,Â 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.Â

Data joins in QlikSenseÂ section:
QlikSense Default load,Â Left join, Right join, Inner join, Outer Join , Keep , Interval match, Sintetic keys, Apply map, Debugging , LoadÂ Â part of total Data,Difference between join Types. Data Model Viewer.

Data VisualizationÂ section:
Fields, Dimensions, Measures, Objects, Assets, Values,Â Sheet Properties , App properties, Alternate State, Master Items explanations.Â 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,Â Container, Table, Pie, Heatmap, Stacked Bar chart, Filters, Pivot Table,

Set analysisÂ 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

User Reviews

Rating

average 0

Total votes0

Focused display

I have over five years of experience working with QlikView and QlikSense in various sectors such as Finance, Insurance, and Banking. Additionally and have a master's degree in Computer Science from Vistula University.I expertise in QlikView and QlikSense. I provide guidance and support to fellow practitioners, helping them to better understand and leverage these powerful data analysis tools.My experience in diverse industries, along with my educational background, has equipped me with a deep understanding of data analysis and visualization. I have skills in various aspects of QlikView and QlikSense, such as data modeling, scripting, and dashboard design.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.