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Power BI – Become an Expert in Data Visualisation

IT & Software

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.

Rating3.7
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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

Rating Distribution

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  • 2 stars: 0 votes
  • 3 stars: 6 votes
  • 4 stars: 2 votes
  • 5 stars: 3 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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