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Microsoft Power BI Intermediate Training Courses

DDLS Australia Pty LTD TA Lumify Group


Short Course

Course Overview

Learn to work with data, measures, power query and more in Power BI. 

 

Students will work on data transformations, measures, DAX, Row Level Security, using Power Query and creating Advanced Visualisations. Our Microsoft-certified trainers make it easy to learn how to manipulate data in Power BI. Learn how to enrich data models to produce powerful interactive dashboards with our one-day course. 

 

After the completion of this course, you will be able to work with data from many sources, build calculations in the data model to produce intelligent, interactive dashboards in one of the premier BI tools on the market. You will be able to collaborate with colleagues and publish to the web. View our full Power BI Intermediate course outline below.

Course Content

  • Power BI
    An introduction to the different
    Power BI Products
    When to use Power BI Desktop
    Free, Pro and Premium
    Online services and databases that
    Power BI can connect to

     

  • The Business Intelligence Process
    Power BI in the business intelligence industry
    A day in the life of Power BI

     

  • Data Model & Transformation
    Data transformation principles
    Data normalisation
    Fact and dimension tables
    The data model
    Star schema
    Snowflake schema
    Optimising the data model

     

  • Get Data
    Data sources
    The dataset
    Get data from a SharePoint list
    Get data from an Excel worksheet
    Get data from an Azure SQL database
    Import vs DirectQuery

     

  • Power Query Editor
    Power Query user interface
    Queries pane
    Data pane
    Ribbon
    Query Settings

     

  • Data Transformations
    Filter data
    Rename queries
    Group queries
    Remove top rows
    Use first row as headers
    Rename columns
    Duplicate columns
    Split columns
    Rename Applied Steps
    Format data

     

  • Data Transformations
    Unpivot columns
    Conditional columns
    Fill values
    Reorder columns
    Combine queries
    Append
    Merge
    Replace values
    Custom columns
    Remove columns
    Evaluate and change column data types

     

  • Check the Data: Profiling
    Column quality
    Column distribution
    Column profile

     

  • Date Transformations
    Auto Date/Time
    Create a date dimension table
    Dynamic date dimension tables
    Extract date components as columns
    Fiscal quarter and fiscal year
    Load Data
    Include in report refresh
    Enable load
    Query dependencies
    Advanced Editor
    Close and Apply

     

  • Data Modelling
    The importance of a good data model
    Manage relationships
    Relationship cardinality
    Cross-filter direction
    Typical cardinality and cross filtering
    The dataset
    Modify data formats

     

  • Data Analysis Expressions
    What is DAX?
    M (Power Query) language vs DAX
    Calculated columns
    Create and use a calculated column
    Measures
    Create and use measures
    Implicit vs explicit measures
    Filter context and measures
    Referring to measures and calculated columns
    Simple DAX functions

     

  • The X Functions
    Calculating values row-by-row in a measure
    X functions vs aggregators and calculated columns

     

  • Quick Measures
    Quick measure categories
    Aggregate per category
    Filters
    Totals
    Mathematical operations
    Text

     

  • Time Intelligence Quick Measures
    Auto date/time option
    Mark as date table
    Visuals for date/time reporting
    Quick measure using an existing measure

     

  • Secure and Share Data
    Online sharing
    Introduction to row-level security (RLS)
    Multi-row cards
    Testing row-level security
    Power BI workspaces
    Apps
    Add users to RLS roles
    Unpublish an app
    Delete a workspace

     

  • Extended Content: More Visualisations
    Combo charts
    Small multiples
    Waterfall charts
    Drill-down charts
    What if
    Bookmarks
    Buttons to navigate bookmarks

     

  • Appendix: Database Normalisation
    The Normal Forms
    1st Normal Form
    2nd Normal Form
    3rd Normal Form
    Primary Keys
    Relationships

Additional Details

Private/ Group Enrolments:
This course is available for individual enrolment and Private classes (min 10 students). Please contact Lumify to organise a quote.

 

What do I need to know to attend?

  • Source data from Excel and some other sources into Power BI service
  • Build reports and dashboards in Power BI, turn data into visuals, format visuals, filter data and visuals
  • Understand the basics of collaborating using Power BI (although not critical for this course)
  • Basic understanding of Power BI Desktop tool (don’t need to use regularly), how to source data and basic preparation of data

Learning Outcomes

  • Understand self-service Business Intelligence
  • Understand Power Query
  • Know how to Transform Data
  • Create Custom Visuals
  • Understand the basics of DAX
  • Understand the basics of “M”
  • How to use Quick Measures
  • Sharing and Security on the Service

Prerequisites

Power BI level or relevant experience

Course Image
Duration
1 day
Estimated Cost per Participant
AUD $595.00
Estimated in IDR 0,00
Minimum participants
0
Course type
Short Course
Delivery method
Virtual
Language
English
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