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Última verificado: 17-06-2023 17:11:42

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Nome:Udemy – Power BI DAX Masterclass – Measures & Calculated Columns 2022-12[1Fil...
Description:


Power BI DAX Masterclass – Measures & Calculated Columns is a DAX language training course in Power BI software: Measures and Calculated Columns, published by Udemy Academy. DAX is a powerful programming language that can help us in advanced analysis. This training course has no prerequisites and different people with any skill level can benefit from its valuable content and topics. DAX programming language can help you analyze your data in the deepest possible way and discover the hidden connections between its different parts. Creating exclusive and advanced tables, performing calculations automatically and intelligently, etc. are among the most important capabilities that this language can bring to various projects.

This training course is completely project-oriented and practical, and during the training process, you will work with the sales data of a company and a store unit, and you will analyze and review them in a completely realistic way.

What you will learn in the Power BI DAX Masterclass – Measures & Calculated Columns training course:
Basic introduction to Measures and Calculated Columns
Differences between Filter context and row context
DAX in different data models
Aggregation functions
Logical operators and various conditional commands
Creating professional and advanced tables with accurate dating of each column and table
Row-oriented functions such as SUMX and AVERAGEX
Creating moving averages for different columns and tables
Different variables
RANKX
Filter different data

Course details
Publisher: Yodmi
Instructor: Nikolai Schuler
Language: English
Education level: Intermediate
Number of lessons: 56
Duration of training: 5 hours and 48 minutes
Video YouTube:
Categoria:Tutorials
Idioma:English  English
Total Size:1.63 GB
Informações Hash:D91DCFE61C8285FC025097E8078F58AF7B302133
Adicionado por:Polara121 Verified UploaderBook Worm
Data adicionada:2023-06-17 23:39:14
Torrent Status:Torrent Verified


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