Become an expert of Qlik Set Analysis

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  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    Self Paced
  • Learners
    No Information
  • Duration
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  • Instructor
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4.2
559 Ratings
This course, "Become an expert of Qlik Set Analysis," is designed to help learners master the various components of Set Analysis in Qlik. It covers topics such as using Dollar sign and Double Dollar sign, achieving Point in Time reporting, working with Bookmarks, performing comparative analysis with Alternate State, harnessing the power of indirect Set Analysis, utilizing Variables, handling null values, and using functions like Aggr(), FirstSortedValue(), and Concat() in conjunction with Set Analysis. Get a comprehesive understanding of this course which is a cost course. 2X Class provides this course data for free. Learn more certificate and details here.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [October 18th, 2023]

What does this course tell? (Please note that the following overview content is from the original platform) What are the Set Analysis Components?
How to use Dollar sign and Double Dollar sign?
What is Point in Time reporting and how to achieve this using Set Analysis?
How to use Set Analysis with Bookmarks?
How to do comparative analysis using Set Analysis and Alternate State?
How powerful indirect Set Analysis is with the use of P() and E()?
How to use Variables in Set Analysis?
How to handle null values in Set Analysis?
How to use Aggr() FirstSortedValue() and Concat() functions along with Set Analysis? We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During this course, the learner will acquire the following skills and knowledge: - Understanding the components of Set Analysis, including the syntax and structure. - Learning how to use the Dollar sign and Double Dollar sign in Set Analysis expressions. - Exploring Point in Time reporting and understanding how to achieve it using Set Analysis. - Discovering how to utilize Set Analysis with Bookmarks to create dynamic selections. - Learning how to perform comparative analysis using Set Analysis and Alternate State. - Understanding the power of indirect Set Analysis with the use of P() and E() functions. - Learning how to incorporate Variables in Set Analysis expressions. - Gaining knowledge on how to handle null values in Set Analysis. - Exploring advanced functions such as Aggr(), FirstSortedValue(), and Concat() in conjunction with Set Analysis. Who will benefit from this course? QlikView/Qlik Sense Developers: Those who work with QlikView or Qlik Sense for data analysis, visualization, and dashboard development will find this course highly beneficial. It delves into advanced Set Analysis techniques to enhance their skills. Business Analysts: Business analysts seeking to gain expertise in QlikView/Qlik Sense Set Analysis for more advanced data analysis and reporting will benefit from this course. Data Analysts and Data Scientists: Data professionals interested in leveraging Qlik Sense's powerful Set Analysis capabilities to perform complex data analysis, including comparative analysis and handling null values, will find this course valuable. Business Intelligence (BI) Professionals: BI specialists aiming to advance their knowledge of Set Analysis in QlikView or Qlik Sense will gain insights into using it for point-in-time reporting, bookmarks, and indirect Set Analysis. Report and Dashboard Developers: Professionals involved in creating detailed reports and interactive dashboards can enhance their data analysis and visualization skills with a focus on Set Analysis components.

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