Power Bi Master Class-Data Models And Dax Formulas 2022

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Power Bi Master Class-Data Models And Dax Formulas 2022
Last updated 3/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 4h 16m

Learn how to create data models, relationships and use DAX formulas in Microsoft Power BI

What you'll learn
Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P video
Have a COMPREHENSIVE understanding of creating data models and developing DAX formulas in Microsoft Power BI
Create calculated FIELDS and MEASURES using DAX in Power BI
Perform SOPHISTICATED calculations such as Time Intelligence, Filtered Data and Creating Calculated Tables
Learn to create VIRTUAL TABLES and powerful cross table calculations
Create RELATIONSHIPS between tables of data
Learn to create Hierarchies and Data Groups for better data analysis
Requirements
You will require Power BI desktop and access to the Power BI Service on the Internet
You should be able to work with data in Excel and do basic reporting
Download the Power BI Desktop app which is available free from Microsoft for Windows
Description
Don't sit through days of boring training to understand how Power BI works! This course will get you up to speed and working in half the time, giving you the crucial foundation to start you on the journey to becoming a Power BI expert. Great reports are built on great data models. In this course, learn how to create relationships, create measures, use DAX and all the other skills you need to build a data model that ensures your reports are top-notch! This course has been updated to the latest Power BI interface so you will be using the latest version available. This course has been updated for 2022 in full HD video quality, so you will learn on the latest Power BI interface. Students who have taken this course have this to say:WHAT STUDENTS ARE SAYING:"Thanks..this is exactly what I was looking for. So many questions are clarified now. This is really helpful for my day to day work!!""Very well organized. I like that it is "master" class, but you provide the instruction in such a way that it does not overwhelm you with new or complex information, BUT at the same time does not bore you with basic information that a somewhat experienced user should already know. A nice balance.""Ian is a good instructor. I have completed 2 modules (Query Editor and DAX). Looking forward to completing the 3rd (Dashboards and Power BI Service).""Great course, great professor, I'm a beginner user and the course is really great as a first approach, it teaches you about the most important general aspects and functions, it is the perfect first step you should take if you want to dominate powerbi."WHAT YOU CAN EXPECT:Introduction and Course ContentCreating Calculated Columns - Basic calculations, using date fields and date tablesCreating Measures - Aggregation measures, the =Calculate formula, the All and AllExcept formula, Time Intelligence, Customer Segmentation and many moreCreating Relationships between tables and using relationship calculationsCreating Virtual Tables and Calculations between TablesCreating and using hierarchies and data groupsCase Studies on DirectQuery, Star Schemas and Quick MeasuresABOUT THE TRAINERIan Littlejohn has been a top-rated trainer on the Udemy platform for over 5 years and has more than 10 years' experience in training & management consulting. He specializes in Data Analysis, covering Excel, Power BI, Google Data Studio and Amazon Quicksight.Ian has over 150,000 students and 50,000 reviews and an average course rating of over 4.5 out of 5. He has a reputation for delivering excellent, logically structured courses that are easy to follow and get the point across without wasting learners' time.WHY YOU SHOULD SIGN UP:Learners buying this course get:Full access to almost 5 hours of HD quality video4 downloadable resources and 11 articlesLifetime accessMoney-back guarantee (see Udemy terms and Conditions)Certificate of completion upon course conclusionWe look forward to having you on the course!***************************************************************************************************************************************DATA ANALYSIS COURSES ROADMAP:This course is part of our Power BI Master Class series. This series goes into a bit more depth about Power BI. My other courses on Udemy areower BIComplete Introduction to Microsoft Power BI [2020 Edition]Power BI Master Class - Query Editor [2020 Edition]Power BI Master Class-Data Models and DAX Formulas 2020Power BI Master Class - Dashboards and Power BI Service 2020Introduction to Data Analysis with Microsoft Power BIExcelComplete Introduction to Excel Pivot Tables and Pivot ChartsComplete Introduction to Excel Power PivotComplete Introduction to Excel Power QueryExcel Interactive Dashboards and Data AnalysisComplete Introduction to Business Data AnalysisTables and Formulas with Excel [2020 Edition]Google Data StudioComplete Introduction to Google Sheets Pivot TablesComplete Introduction to Google Data Studio 2020 EditionGoogle Analytics Reports and Dashboards with Data Studio

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction to the Course

Lecture 2 About the Course

Lecture 3 Please download the Training Data Files

Section 2: Overview of the Power BI Data Model

Lecture 4 Introduction to Overview of the Data Model

Lecture 5 Overview of the Data Model

Section 3: Creating Calculated Columns

Lecture 6 Introduction Calculated Columns

Lecture 7 Creating Calculated Columns

Lecture 8 Practical Activity - Calculated Columns

Lecture 9 Creating Calculated Columns of Date Fields

Lecture 10 Practical Activity - Calculated Columns with Date Fields

Lecture 11 Weekday and Weeknum Formulas

Lecture 12 Formatting Date Names

Lecture 13 Practical Activity - Formatted Date Names

Lecture 14 Using a Date Master Table in the Data Model

Lecture 15 Practical Activity - Adding a Date Table to the Data Model

Lecture 16 IF Function

Lecture 17 Switch Function

Section 4: Creating Power BI Measures

Lecture 18 Introduction to the Measures Section

Lecture 19 What is a Measure?

Lecture 20 Creating Measures

Lecture 21 Practical Activity - Creating Measures

Lecture 22 Practical Activity - Measures

Lecture 23 Using the = Calculate Formula

Lecture 24 Practical Activity - =Calculate Formula

Lecture 25 The All and AllExcept Function

Section 5: Time Intelligence Functions

Lecture 26 Time Intelligence - Part 1

Lecture 27 Time Intelligence - Part 2

Lecture 28 Time Intelligence - Part 3

Section 6: Additional Measure Calculations

Lecture 29 Using the SUMX function

Lecture 30 Example of MAXX - Find the Highest Sales Day

Lecture 31 Example MAXX Functions using Values function

Lecture 32 RANKX Function

Lecture 33 Customer Segmentation - SWITCH Function

Lecture 34 What If Parameters

Section 7: Virtual Tables

Lecture 35 Introduction to Virtual Tables

Lecture 36 Creating Virtual Tables

Lecture 37 Customer Segmentation

Lecture 38 Performance Analyzer

Lecture 39 Practical Activity - Virtual Tables

Lecture 40 Completed Practical Activity - Part 1

Lecture 41 Completed Practical Activity - Part 2

Section 8: Creating Relationships in Power BI

Lecture 42 Introduction to the Relationships Section

Lecture 43 Download the Training Data Files

Lecture 44 Relationships between Tables

Lecture 45 Relationship Calculations

Lecture 46 USERELATIONSHIP Function

Lecture 47 Practical Activity - Create Relationships and Calculations

Section 9: Hierarchies and Data Groups

Lecture 48 Introduction to Hierarchies

Lecture 49 Creating Hierarchies

Lecture 50 Creating Data Groups

Section 10: Case Studies

Lecture 51 Introduction to Case Studies

Lecture 52 Introduction to Star Schemas

Lecture 53 Creating Star Schemas

Lecture 54 Using DirectQuery Mode

Lecture 55 Creating Quick Measures

Section 11: Conclusion to the Course

Lecture 56 Course Conclusion

Excel users who want to learn how to create PROFESSIONAL reports in Power BI,Power BI users who want to learn to build great data models and learn to use the DAX formula language

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