Power BI - Become an Expert in Data Visualisation
Power BI / Microsoft / English / All levels
Updated on Apr, 2024
Language - English
Data & Analytics,Microsoft Power BI,Microsoft Power BI,Microsoft Project
Lectures -189
Duration -6 hours
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Course Description
The definitive, broadcast standard, Final Cut Pro Masterclass from award winning editor and award winning media trainer, Dean Arnett.
This course will take you from the absolute basics all the way through to advanced levels, including lots of tips and tricks from inside the industry as well as a Grammar of Editing session, because editing isn't just about learning to use the software after all!
This masterclass is based on the course that Dean delivers all over the world to broadcasters and corporate clients such as the BBC, ITV, Media Corp, Press Association and many others.
Who this course is for:
- Media creators wanting to learn professional broadcast quality Editing on FCP X
Goals
What will you learn in this course:
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
Prerequisites
What are the prerequisites for this course?
Have a Windows/Mac computer, an internet connection and motivation !
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
7 Lectures
-
Welcome !
03:23
03:23
-
Installing Power BI on your Windows
00:55
00:55
-
Installing Power BI on your MAC
02:03
02:03
-
Data sources – File
01:19
01:19
-
Data Types & Operators
01:58
01:58
-
Connect Excel to Power BI
03:52
03:52
-
Connect Excel CSV to Power BI
03:35
03:35
Home window
8 Lectures
Data Automatisation - Query Editor
19 Lectures
Connect data
3 Lectures
Relationships between tables
4 Lectures
Visualizations
35 Lectures
Types of filters
17 Lectures
Designing Report
7 Lectures
Text and hyperlinks
3 Lectures
Conditional Formating
3 Lectures
Exportation
2 Lectures
Publishing
1 Lectures
Importation web data – Exercise
14 Lectures
Quick measures and Proposed formulas
8 Lectures
Measures, Columns and calculated tables
15 Lectures
DAX - Data Analysis Expressions
3 Lectures
DAX : Functions – Filters
3 Lectures
DAX : Functions – Dates
5 Lectures
DAX : Functions – Conditionals
3 Lectures
DAX : Functions – Mathematicals
5 Lectures
DAX : Functions – Statisticals
5 Lectures
DAX : Functions – Texts and contexts
3 Lectures
Python
9 Lectures
R Code
6 Lectures
Conclusion
1 Lectures
Instructor Details
Florian FIDUCIA
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