This 2-day power bi training course will show you how to master Power BI.

This is a hands-on course which includes lots of time to experiment with what you are being taught and ask questions.

By the time you finish, you’ll be a confident Power BI user.

✔ A complete Power BI & Tools course that covers all of Excel’s BI functions.
✔ Plenty of one to one attention and time to ask questions.
✔ Friendly expert trainers, small groups and a comfortable place to learn.
✔ All the materials and extras that you’ll ever need.
✔ Ongoing support and help with issues you have after the course.

What Will I Learn?

By the end of this course you will be able to confidently:

  • Create a PowerPivot model by importing data from various sources
  • Understand and manage data relationships
  • Create and edit hierarchies
  • Insert calculated columns using Data Analysis Expression (DAX) formulas
  • Insert, modify, and format PivotTables and PivotCharts
  • Create and edit Measures (DAX aggregate functions)
  • Create report dashboards using slicers, timelines and KPIs
  • Use PowerView, PowerMaps and Power Query tools

Am I Ready For This Course?

It is recommended that you have completed either the Excel Intermediate or Excel Advanced level workshops, or have equivalent experience.

It is expected that you have a good understanding of Excel functions such as IF and VLookup functions, as well as Defined Names, Importing Data and a basic understanding of PivotTables.

The Training Day

Our courses run from 9.30am to roughly 4.15pm with refreshments and biscuits throughout the day and a break for a tasty, freshly prepared lunch.

We offer a relaxed, supportive learning environment, fully air-conditioned training facilities and some of the nicest instructors on the planet.

Also, you’ll receive:

✔ A full-colour A4 manual covering everything in the course to keep.
✔ A USB stick so that you can take your course exercises home with you.
✔ A Certificate of Attendance.

  • What is BI?
  • Main Concepts
  • Power Query
  • Power Pivot
  • Power BI Desktop
  • Power Query
  • Working with CSV files
  • Working with Text Files
  • Working with Excel Files (mini metadata)
  • Working with other data sources
  • Meta Data Query
  • File Content Query
  • Filtering out unwanted Data
  • Using Auto-Filter (problems)
  • Using Number, Text and Date Filters
  • Removing Duplicate Values
  • Filtering out Rows with Errors
  • Sorting
  • Moving / deleting Columns
  • Splitting Columns
  • Merging Columns
  • Text
  • Number
  • Date/Time
  • Locale
  • Unpivoting Columns to Rows
  • Transposing a Table
  • Creating Custom Column
  • Loading Data
  • Loading Data into a Worksheet
  • Loading Data into the Excel Data Model
  • Refreshing Queries Manually and Automatically
  • Query Concepts
  • ETL
  • Get & Transform
  • Creating and editing Simple
  • Query
  • Get from Folder
  • Query vs Source Data
  • Writing ‘Robust’ Queries
  • What is Power Pivot
  • Pivot Table Examples with Excel
  • Data
  • Power Pivot Examples with a Data
  • Model
  • Working with Excel files
  • What is in an Excel file?
  • Working with Excel Tables
  • Working with Data Ranges
  • Understanding Acceptable Data Types
  • Adding Excel Tables to Power Pivot
  • Adding and Maintaining Data in Power Pivot
  • What is a Data Model
  • Understanding Key Fields
  • Relationships in a Data Model
  • Data Hierarchy
  • Types of Calculations in Power Pivot
  • Creating a Calculated Column
  • Creating a Calculated Field (Measure)
  • Understanding DAX Measures
  • Rules and Best Practices
  • Choosing Between Calculated Columns and Measures
  • Why a Date (Calendar) Table is required
  • Generate a Date Table
  • Mark as a Date Table
  • Grouping dates for time analysis
  • Time Intelligence functions
  • Dashboard & Report principles
  • Filtering Data using Slicers
  • Creating Power Pivot Charts
  • Formatting Power Pivot Charts
  • Using Multiple Charts and Tables
  • Connecting Slicers
  • Getting Data
  • Data Model
  • Time Intelligence
  • Visualisations
  • Spatial Intelligence
  • Sharing Reports
  • Analyse typical user file, tasks, outcomes
  • Set up data model based on real-life file
  • Discuss and create analytics for the model