Power BI - Become an Expert in Data Visualisation

Discover, Learn and Customise Power BI reports. Understand the concept in few minutes and become an Expert in few hours.

Created by : Rated :4.1 9220 views

Last Updated: 2023-03-22 05:03:22 English Course Type: Self Learning

Creating & Designing meaningful reports to lead business improvements
Collecting, managing and analysing quantitative data
Learning to use DAX to create your formulas
Customising a wide range of visuals to implement your reports
Automating interactive reports
Analyzing huge datasets

In my personal life, I am an Apple's devices user. I did not want to choose between PC or iOs devices to use Power BI. I am going to start to show you a way to use Power BI on your Mac. So, do not worry, this issue will be solved at the end of the first session.

As we are ready, we are going to really start by using Power BI and apprehend the way of how this Data Visualisation tool works.

By looking over the entire software, we will discover how to import and connect all types of data from our device to Power BI.

We will manage entire datasets with Query Editor, customising data and making it more readable and understandable. Defining relationships between tables in order to get interactive reports on a wider set.

After having understood the main concepts of how to manage our data, we will start to work with visuals, their definition, the best way to use them and how to customise them. Designing our own reports and getting unlimited ideas to provide the best way to implement them in function of the hearings.

By continuing to be more touchy in our analysis and the accuracy of our data, we will see how to compound our first formulas by using DAX formulas. From there, we will work on different kinds of function in order to get a wide range to adapt our functions in each situation you will encounter.

If you are interested to discover all of these and lot more, join me through this travel and I will be more than pleased to help you becoming an Expert on Power BI.

Have a Windows/Mac computer, an internet connection and motivation !

Being interested in Data Visualisation / Creating interactive reports / Data Analysis / Data Modelling
Everyone who wants to learn, discover or re-discover Power BI

Section 1 : Introduction 7 Lectures 00:17:05
Lecture 1 :
Welcome ! Preview
Lecture 2 :
Installing Power BI on your MAC
Lecture 3 :
Data sources – File
Lecture 4 :
Data Types & Operators
Lecture 5 :
Connect Excel to Power BI
Lecture 6 :
Connect Excel CSV to Power BI
Lecture 7 :
Installing Power BI on your Windows
Section 2 : Home window 8 Lectures 00:17:27
Lecture 1 :
Overview
Lecture 2 :
More options on a visual
Lecture 3 :
View settings
Lecture 4 :
Duplicate a page
Lecture 5 :
Renaming page
Lecture 6 :
Deleting page
Lecture 7 :
Hiding page
Lecture 8 :
Understand the report : Filters / Visualization / More Options
Section 3 : Data Automatisation - Query Editor 19 Lectures 00:52:48
Lecture 1 :
Overview - What is Query Editor?
Lecture 2 :
Ribbon Home - Query Editor
Lecture 3 :
Ribbon Home - Query Editor - Data Sources
Lecture 4 :
Enter data manually
Lecture 5 :
Merge queries
Lecture 6 :
Append queries
Lecture 7 :
Custom columns
Lecture 8 :
Creating formulas
Lecture 9 :
Replace values
Lecture 10 :
Replace Values - Exercise
Lecture 11 :
Changing type
Lecture 12 :
Changing type - Exercise
Lecture 13 :
Tips: Valid / Error / Empty cells
Lecture 14 :
Removing columns & rows
Lecture 15 :
Filters and sorting
Lecture 16 :
Applied steps
Lecture 17 :
Pivot
Lecture 18 :
Advanced editor
Lecture 19 :
Modeling datasets
Section 4 : Connect data 3 Lectures 00:07:57
Lecture 1 :
Refresh Automatically DirectQuery
Lecture 2 :
Connect web page to Power BI
Lecture 3 :
Connect files to Power BI
Section 5 : Relationships between tables 4 Lectures 00:09:09
Lecture 1 :
Relationship assuming referential integrity
Lecture 2 :
Storage mode property
Lecture 3 :
Manage relationship between datasets
Lecture 4 :
Types of relationship between datasets
Section 6 : Visualizations 35 Lectures 00:49:49
Lecture 1 :
Fields and Format with a selected visual
Lecture 2 :
Fields and Format without a selected visual
Lecture 3 :
Import a custom visual
Lecture 4 :
PowerApps for Power BI
Lecture 5 :
ArcGIS Map
Lecture 6 :
Q&A
Lecture 7 :
Key influencers chart
Lecture 8 :
Python script visual
Lecture 9 :
R script visual
Lecture 10 :
Showing data as a table
Lecture 11 :
Matrix
Lecture 12 :
Tables
Lecture 13 :
Slicer
Lecture 14 :
KPI
Lecture 15 :
Cards: multi row
Lecture 16 :
Card visualization
Lecture 17 :
Radial gauge chart
Lecture 18 :
Filled maps
Lecture 19 :
Map
Lecture 20 :
Treemap
Lecture 21 :
Doughnut chart
Lecture 22 :
Pie chart
Lecture 23 :
Scatter and bubble chart
Lecture 24 :
Funnel chart
Lecture 25 :
Waterfall chart
Lecture 26 :
Ribbon chart
Lecture 27 :
Line and clustered column chart
Lecture 28 :
Line and stacked column chart
Lecture 29 :
Basic or stacked area chart
Lecture 30 :
Area chart
Lecture 31 :
Line chart
Lecture 32 :
100% stacked bar chart
Lecture 33 :
Clustered bar & column chart
Lecture 34 :
Stacked bar & stacked column chart
Lecture 35 :
Overview
Section 7 : Types of filters 17 Lectures 00:45:20
Lecture 1 :
Overview
Lecture 2 :
Manual filters
Lecture 3 :
Automatic filters
Lecture 4 :
Include and exclude filters
Lecture 5 :
Drill-down filters or expanding
Lecture 6 :
Cross-drill filters
Lecture 7 :
Drill-through filters
Lecture 8 :
Using Drill-through filters
Lecture 9 :
URL filters
Lecture 10 :
Passthrough filters
Lecture 11 :
Lock or hide
Lecture 12 :
Format
Lecture 13 :
Filters pane and cards
Lecture 14 :
Sort the filter pane
Lecture 15 :
Rename filters
Lecture 16 :
Clearing filters
Lecture 17 :
Restrict changes to filter type
Section 8 : Designing Report 7 Lectures 00:11:28
Lecture 1 :
Visualizations – title
Lecture 2 :
Visualizations – background of a visual
Lecture 3 :
Visualizations – legends
Lecture 4 :
Visualizations – customize colours using a theme
Lecture 5 :
Using a theme
Lecture 6 :
Personnalize wallpaper
Lecture 7 :
Personnalize visual headers
Section 9 : Text and hyperlinks 3 Lectures 00:04:20
Lecture 1 :
Add text
Lecture 2 :
Add hyperlink in a text
Lecture 3 :
Remove hyperlink in a text
Section 10 : Conditional Formating 3 Lectures 00:08:27
Lecture 1 :
Conditional formating in tables - overview
Lecture 2 :
Add conditional formating in tables
Lecture 3 :
Remove conditional formating in tables
Section 11 : Exportation 2 Lectures 00:02:47
Lecture 1 :
Export data through CSV
Lecture 2 :
Export data through PDF
Section 12 : Publishing 1 Lectures 00:00:58
Lecture 1 :
Publishing
Section 13 : Importation web data – Exercise 14 Lectures 00:20:04
Lecture 1 :
Import web content and create a report
Lecture 2 :
1st step : Importation web data
Lecture 3 :
1st correction : Importation web data
Lecture 4 :
2nd step : Shaping Content - Removing rows
Lecture 5 :
2nd correction : Shaping Content - Removing rows
Lecture 6 :
3rd step : Shaping Content – Filtering
Lecture 7 :
3rd correction : Shaping Content - Filtering
Lecture 8 :
4th step : Shaping Content – Removing Columns
Lecture 9 :
4th correction : Shaping Content - Removing Columns
Lecture 10 :
5th correction : Shaping Content – Renaming
Lecture 11 :
5th step : Shaping Content – Renaming
Lecture 12 :
6th step : Shaping Content – Merging Queries
Lecture 13 :
6th correction : Shaping content - Merging Queries
Lecture 14 :
Conclusion
Section 14 : Quick measures and Proposed formulas 8 Lectures 00:12:23
Lecture 1 :
Quick measures - Overview
Lecture 2 :
Quick measures – learning DAX
Lecture 3 :
Proposed formulas
Lecture 4 :
Proposed formulas – average, sum, maximum…
Lecture 5 :
Quick Measures - Exercise 1st step
Lecture 6 :
Quick Measures - Exercise 1st correction
Lecture 7 :
Quick Measures - Exercise 2nd step
Lecture 8 :
Quick Measures - Exercise 2nd correction
Section 15 : Measures, Columns and calculated tables 15 Lectures 00:41:56
Lecture 1 :
Measures, Columns and calculated tables - Overview
Lecture 2 :
How to create a measure?
Lecture 3 :
Create your first formula – measures
Lecture 4 :
Use your home-made formula – measures
Lecture 5 :
Insert a slicer – measures
Lecture 6 :
How to create a column?
Lecture 7 :
Create your first formula – columns
Lecture 8 :
Exercise 1st step : Use your home-made formula
Lecture 9 :
Exercise 1st correction : Use your home-made formula
Lecture 10 :
Exercise 2nd step : Use your home-made formula
Lecture 11 :
Exercise 2nd correction : Use your home-made formula
Lecture 12 :
Exercise 3rd step : Use your home-made formula
Lecture 13 :
Exercise 3rd correction : Use your home-made formula
Lecture 14 :
Exercise 4th Final : Use your home-made formula
Lecture 15 :
Create Calculated Tables
Section 16 : DAX - Data Analysis Expressions 3 Lectures 00:10:33
Lecture 1 :
What is DAX?
Lecture 2 :
What’s DAX logic behind it?
Lecture 3 :
DAX - Syntax
Section 17 : DAX : Functions – Filters 3 Lectures 00:04:47
Lecture 1 :
Keepfilters()
Lecture 2 :
Removefilter()
Lecture 3 :
Distinct()
Section 18 : DAX : Functions – Dates 5 Lectures 00:06:31
Lecture 1 :
Firstdate()
Lecture 2 :
Lastdate()
Lecture 3 :
Date()
Lecture 4 :
Datediff()
Lecture 5 :
Datevalue()
Section 19 : DAX : Functions – Conditionals 3 Lectures 00:07:06
Lecture 1 :
If()
Lecture 2 :
And()
Lecture 3 :
Or()
Section 20 : DAX : Functions – Mathematicals 5 Lectures 00:06:23
Lecture 1 :
Divide()
Lecture 2 :
Sum()
Lecture 3 :
Sumx()
Lecture 4 :
Average()
Lecture 5 :
Averagex()
Section 21 : DAX : Functions – Statisticals 5 Lectures 00:08:59
Lecture 1 :
Counta()
Lecture 2 :
Countax()
Lecture 3 :
Max(), Median() and Min()
Lecture 4 :
Concatenate()
Lecture 5 :
Concatenatex()
Section 22 : DAX : Functions – Texts and contexts 3 Lectures 00:03:56
Lecture 1 :
Find()
Lecture 2 :
Left()
Lecture 3 :
Right()
Section 23 : Python 9 Lectures 00:11:57
Lecture 1 :
Python IDE
Lecture 2 :
Launch Python IDE from Power BI
Lecture 3 :
Running Python Script
Lecture 4 :
Python in Query Editor
Lecture 5 :
Creating visuals from Python script data
Lecture 6 :
Python’s visuals
Lecture 7 :
Python’s visuals: create a scatter plot
Lecture 8 :
Python’s visuals: create a line with multiple columns
Lecture 9 :
Python’s visuals: create a bar plot
Section 24 : R 6 Lectures 00:07:37
Lecture 1 :
R IDE
Lecture 2 :
Running R script
Lecture 3 :
R install Mice
Lecture 4 :
R in Query Editor
Lecture 5 :
Creating visuals from R script data
Lecture 6 :
R’s visuals
Section 25 : Conclusion 1 Lectures 00:00:00
Lecture 1 :
Greetings !

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Florian Fiducia,

9220 Course Views

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Graduated from a Master of Science in International Finance, speaking English and French, I am here to help you and provide advices to improve and develop your skills. As well, I remain available for any questions moreover I would be more than please to read your recommandations, advices or ways of how I could improve my lectures.