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Microsoft Power BI - Advanced

  • Length 1 day
  • Price  NZD 685 exc GST
Course overview
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Why study this course

Power BI is Microsoft's powerful data visualisation tool that is commonly used for business analytics. With the ability to connect to data, clean and transform it, and create interactive dashboards, users can gain valuable insights to support informed decision-making. In our courses, you will gain hands-on experience using both Power BI Desktop and the Power BI service to create compelling visualisations. Learning Power BI has never been easier, and our courses will provide you with the skills you need to leverage this powerful tool effectively.

In this one-day course you will gain a deeper understanding of evaluation of DAX measures and wider exposure to features within Power BI Desktop. Take your business intelligence analysis to the next level with our Power BI Advanced course.

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What you’ll learn

At the completion of this course you should be able to:

  • Streamline report creation

  • Work with multiple date-dimension tables and role-playing dimensions

  • Understand filter context

  • Use DAX to modify filter context

  • Collaborate with colleagues and publish to the web

  • Use advanced report features such as drill-through, custom tooltips and report navigation


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Microsoft Apps at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

This advanced course is designed for individuals who want a comprehensive introduction to DAX functions, features, and different Power BI tools.


Course subjects

Course Introduction

  • Overview of Power BI

Data Model

  • Data Modelling in the Real World

  • Dataset for exercises

Data Analysis Expressions (DAX) - Introduction

  • Introduction to DAX

  • Learning DAX

  • Advice when creating DAX

  • Third-party tools to assist

  • Measures Table

  • Create a Table for Measures

DAX - Measures and Filters

  • Filters on a Measure

  • Create simple aggregate measures

  • Using measures on a report page

  • Applying visual layouts and slicers/filters

  • Initial Filter Context / Original Filter Context / Query Context

DAX - The CALCULATE Function

  • Introduction to the CALCULATE function

  • Modifying filters with CALCULATE

  • Add, replace, clear column filters

  • Limitations of CALCULATE

  • Adding Filters

  • Replacing Filters

  • The total row

  • Removing / Clearing Filters

  • The ALL and similar functions

DAX - Evaluation Contexts

  • Overview of evaluation contexts in DAX

  • The Filter Context

  • The Row Context

  • Initial Filter (Query) Context

  • Initial Row Context

  • Seeing Row Context

  • Introducing a Row Context

DAX - The Rules of Evaluation

  • Introduction to the rules of evaluation

  • The five steps

  • Starting set of filters

  • Specify filtering

  • Filters are applied

  • Propagation of filters

  • Evaluation of expression

  • Stepping through the rules in an example

DAX - Contexts & Relationships

  • Introduction to Relationships

  • Filter context follows relationships

  • Explore the filter context

  • How filter context follows relationships

  • Filter context against relationships

  • The Both cross-filter direction

  • Modify the filter direction

  • The CROSSFILTER function

  • Impact on totals

DAX - The FILTER Function

  • Introduction to the FILTER function

  • FILTER returning a table

  • Create a table with FILTER

  • Modify existing filter context with FILTER and CALCULATE

  • Difference between these methods

  • Using ALL function in FILTER

  • Identical CALCULATE and FILTER

  • Extended exercise - ALL functions

DAX - Variables

  • Overview of variables in DAX

  • Creating and using variables

  • Use variables to store a constant

  • Use variables to avoid repetition

  • Where to from here

Row Level Security

  • Overview of RLS in Power BI

  • Create dynamic RLS using USERNAME or USERPRINCIPALNAME

  • Load data and enable RLS

  • Testing dynamic RLS in Desktop

  • RLS data access according to organisation hierarchy

  • DAX parent-child functions

  • Publish and assign roles in Power BI Service

  • Create App Workspace

Report Features

  • Introduction to advanced features

  • Overview of Drill-through

  • Create report page with drill-through filters

  • Interacting with drill-through

  • Overview of custom report tooltips

  • Modify standard tooltip display

  • Create and apply custom tooltips

  • Overview of Grouping and Binning

  • Create a group

  • Create a bin

  • Binning a date field

Date Dimension

  • Overview of Date Dimension in BI

  • Power BI Desktop settings

  • Download or create own table

  • Data table with a DateKey

  • Convert a DateKey to a Date

  • Create date table in Power Query

  • Extended exercise - Use parameter to specify date table start and end

  • Create date table with DAX

  • Using CALENDARAUTO in DAX

Extended Topic A - API Data Sources

  • Overview of Web and API data sources

  • Query an API data source

  • HTTP and JSON terminology

  • Transform a JSON response

  • Publish to Power BI Service and setup refresh schedule

Extended Topic B - Streaming Data Sources

  • Overview of real-time streaming data sources

  • Push Datasets and Streaming Datasets

  • Push data into a dataset

  • Query data from PubNub stream

  • Configure Dashboard tile to show streaming data from PubNub

  • Create a REST API to push data into Power BI

  • Create JSON object to insert data via API

  • Push data using HTTP Post

  • Create Dashboard tile to show updating data

Extended Topic C - Files in Folders

  • Overview of using a folder data source

  • Query a folder containing multiple source files

  • Column consistency

  • Specify a template file to define columns

  • View created queries, functions, and dependencies

  • Understand the process of querying a folder

  • Extended exercise – introduce additional files and unwanted files

Additional Study (Extended Topic D) - Power Query M Formula Language

  • Overview of Power Query M Formula Language

  • Basics of Power Query M

  • Values, Records, Lists

  • Operators

  • Conditional Testing

  • Error handling

  • Accessing table data

  • More advanced Power Query M

  • Each Expression

  • Refer to other queries

  • Understand a web query

  • Remove Rows by Filter

  • Unpivot & Rename

Extended Topic - Query Parameters (Dynamic Web Query)

  • Importing a web query using parameters

  • Creating a custom function

  • Defining a List to create a new Query

  • Invoking custom functions

  • Using Error checking processes

  • Cleaning queries

  • Create measures and visualise queried data

Extended Topic - Group By

  • Using the Group By feature

Data Normalisation Appendix

  • The Normal Forms

  • 1st Normal Form


Prerequisites

Students should have completed our Power BI Beginner and Intermediate courses or have intermediate Power BI skills including data import, Power Query, visualisations, filters, basic data modelling, calculated fields, and row-level security.


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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