Power BI – Become an Expert in Data Visualisation
Power BI – Become an Expert in Data Visualisation, available at $19.99, has an average rating of 3.7, with 189 lectures, 2 quizzes, based on 11 reviews, and has 93 subscribers.
You will learn about 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 This course is ideal for individuals who are Being interested in Data Visualisation / Creating interactive reports / Data Analysis / Data Modelling or Everyone who wants to learn, discover or re-discover Power BI It is particularly useful for Being interested in Data Visualisation / Creating interactive reports / Data Analysis / Data Modelling or Everyone who wants to learn, discover or re-discover Power BI.
Enroll now: Power BI – Become an Expert in Data Visualisation
Summary
Title: Power BI – Become an Expert in Data Visualisation
Price: $19.99
Average Rating: 3.7
Number of Lectures: 189
Number of Quizzes: 2
Number of Published Lectures: 189
Number of Published Quizzes: 2
Number of Curriculum Items: 191
Number of Published Curriculum Objects: 191
Original Price: €99.99
Quality Status: approved
Status: Live
What You Will Learn
- 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
Who Should Attend
- Being interested in Data Visualisation / Creating interactive reports / Data Analysis / Data Modelling
- Everyone who wants to learn, discover or re-discover Power BI
Target Audiences
- Being interested in Data Visualisation / Creating interactive reports / Data Analysis / Data Modelling
- Everyone who wants to learn, discover or re-discover Power BI
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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome !
Lecture 2: Installing Power BI on your Windows
Lecture 3: Installing Power BI on your MAC
Lecture 4: Data sources – File
Lecture 5: Data Types & Operators
Lecture 6: Connect Excel to Power BI
Lecture 7: Connect Excel CSV to Power BI
Chapter 2: Home window
Lecture 1: Overview
Lecture 2: Understand the report : Filters / Visualization / More Options
Lecture 3: More options on a visual
Lecture 4: View settings
Lecture 5: Duplicate a page
Lecture 6: Renaming page
Lecture 7: Deleting page
Lecture 8: Hiding page
Chapter 3: Data Automatisation – Query Editor
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
Chapter 4: Connect data
Lecture 1: Connect files to Power BI
Lecture 2: Connect web page to Power BI
Lecture 3: Refresh Automatically DirectQuery
Chapter 5: Relationships between tables
Lecture 1: Storage mode property
Lecture 2: Manage relationship between datasets
Lecture 3: Types of relationship between datasets
Lecture 4: Relationship assuming referential integrity
Chapter 6: Visualizations
Lecture 1: Overview
Lecture 2: Stacked bar & stacked column chart
Lecture 3: Clustered bar & column chart
Lecture 4: 100% stacked bar chart
Lecture 5: Line chart
Lecture 6: Area chart
Lecture 7: Basic or stacked area chart
Lecture 8: Line and stacked column chart
Lecture 9: Line and clustered column chart
Lecture 10: Ribbon chart
Lecture 11: Waterfall chart
Lecture 12: Funnel chart
Lecture 13: Scatter and bubble chart
Lecture 14: Pie chart
Lecture 15: Doughnut chart
Lecture 16: Treemap
Lecture 17: Map
Lecture 18: Filled maps
Lecture 19: Radial gauge chart
Lecture 20: Card visualization
Lecture 21: Cards: multi row
Lecture 22: KPI
Lecture 23: Slicer
Lecture 24: Tables
Lecture 25: Matrix
Lecture 26: Showing data as a table
Lecture 27: R script visual
Lecture 28: Python script visual
Lecture 29: Key influencers chart
Lecture 30: Q&A
Lecture 31: PowerApps for Power BI
Lecture 32: ArcGIS Map
Lecture 33: Import a custom visual
Lecture 34: Fields and Format without a selected visual
Lecture 35: Fields and Format with a selected visual
Chapter 7: Types of filters
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
Instructors
-
Florian Fiducia
Financial Analyst
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 6 votes
- 4 stars: 2 votes
- 5 stars: 3 votes
Frequently Asked Questions
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