Power BI Intermediate

Duration: 1 day

Course Overview

This course builds on the Introduction to Power BI one day course and is aimed at Power BI users seeking to explore reporting elements more in-depth. The course maintains a balanced look at the four main areas that make up Power BI and includes the Power Query Editor, DAX formulas, data modelling, and enhanced dashboard visuals.

Prerequisite

Our assumption is that you have either attended the introduction course or are a Power BI user and now want to move beyond the basics. If not, we recommend attending the Power BI Introduction course first.

Course Content

Module 1: Importing Files

1.1. Importing a folder of files

1.2. Methods of connecting to data

1.3. Managing file connections

Module 2: Power Query Editor

2.1. Cleaning imported files

2.2. Adding a custom column

2.3. Appending tables together

2.4. Hiding tables in reports

2.5. Fixing data error issues

2.6. Math calculations

Module 3: Merging Queries

3.1. Query join types

3.2. Combining tables

Module 4: Power Query Formulas

4.1. Add a conditional column

4.2. Add a custom column

4.3. Working with text functions

4.4. Insert an IF formula

4.5. Creating group folders

Module 5: Pivoting tables

5.1. Clean tables by pivoting

5.2. Pivot but don’t aggregate

Module 6: Data Modelling

6.1. The concept of data models

6.2. Relationship properties

Module 7: DAX New Columns

7.1. Creating DAX columns

7.2. The SWITCH function

Module 8: DAX measures

8.1. Anatomy of DAX measures

8.2. Insert a DISTINCTCOUNT

8.3. Insert a CALCULATE

Module 9: The SUMX measure

9.1. What is an iterator?

9.2. Insert a SUMX iterator

9.3. When to use X-functions

Module 10: Time Intelligence

10.1. Importance of a date table

10.2. Time intelligence functions

10.3. Insert a TOTALYTD function

10.4. Compare historical data

10.5. Insert a DATEADD function

10.6. Time intelligence in charts

Module 11: Drilling into Data

11.1. Setting up a visual hierarchy

11.2. Drilling into layers of data

Module 12: Group Data

12.1. Compare data in groups

12.2. Groups in visualisations