Power BI – Data Analytics Essentials with Power BI

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  • Reading time:10 mins read


Get Started Quickly with Visualization, Data Prep and DAX on Power BI

What you will learn

Simple methods to Analyze data with Power BI and gain Insights

Automate manual reporting processes with Power BI

Make reports available to stakeholders 24/7 on all devices

Select the appropriate charts for visualization (Data Visualization)

Create links in reports with Book Marks (Data Visualization)

Design Interactive Reports and Dashboards (Data Visualization)

Logical steps to build Data Models from (Data Modeling & DAX)

Understand concept of Fact and Dimension Tables (Data Modeling & DAX)

Simplified methods to write your own DAX Measures (Data Modeling & DAX)

Build your Calendar/Date Table from Scratch with DAX (Data Modeling & DAX)

Combine multiple Excel Workbooks (Data Preparation)

Combine Multiple Excel Worksheets (Data Preparation)

Master the rules for Data Preparation (Data Preparation)

Description

Many students who have taken this course have found it detailed and easy to understand.

​“In God we trust, all others must bring data”.

​The famous quote by W. Edwards Deming has never been more true than it does in today’s world.

​Far gone are the days business decision makers take critical decisions based on haunches, intuition and gut feelings.

​These days, everyone has come to realise that better and more accurate decisions can be made when data is put into good use. And there is data everywhere. The problem is, there is a shortage in the number of people who can put it into good use.

​The Power BI course is designed to arm participants with knowledge on using the most highly rated Data Analytics and Business Intelligence Tool, Power BI to go from data to insights.​

​Participants will quickly learn from a Microsoft Certified Trainer and MVP,  the bolts of the key concepts required to be a Power BI expert.

Complex concepts are described in simplified manner to make the learners’ journey easier.


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And not just that, the facilitator will be on ground, supporting any participant with challenges working with Power BI afterwards.

This course covers the essentials of Power BI Desktop including:

  1. Data Preparation
  2. Data Modeling
  3. Data Visualization
  4. DAX

In the Data Preparation section, I explained the rules for clean data structure. I also show how to connect Power BI to a system Folder, an approach that eases data updates for reports.

The Data Modeling section shows how you can eliminate redundant data from a large data set by separating the tables into Fact and Dimension Tables. You will see how to do this from scratch using a methodical approach.

In the Data Visualization section, I have included a write up that will guide you in ensuring that you always select the right kind of charts for your reporting and dashboards

Although, I have created a separate dedicated course for more in-depth explanations on DAX, the DAX content here is an excellent place to start your DAX Knowledge.

Enjoy the course!

English
language

Content

Intro & Overview
Welcome!
Introductions
About the Course
Downloading Power BI Desktop
Understanding the Power BI User Interface
Power BI Interface
Understanding the Case Study Data
Importing Data to Power BI
Understanding the Power Query User Interface
Intro to Transforming Data with Power Query
Intro to Transforming Data with Power Query Continued
Re-Using M Scripts and Loading Data to Power BI
Editing Queries and Refreshing Data
Power Query Transformation
Visualizing Reports in Power BI
Introduction to Power BI Reporting
Visualizing a timeline report with Line Chart
Formatting Power BI Charts
Adding a new chart to the canvass
Creating a Top N Report with a Bar Chart
Sorting a Visual
Filtering a page with Filters Pane and Using Slicers
Controlling Visual Interactions on the Canvass
Using Visuals Background to enhance Report Page
Chart Elements
Working with Shapes and Text Box
Working with Report Themes
Re-Using a Report Page as Template
Adding a back button to return to a previous page
Designing a Report optimized for Mobile View
Publishing Reports to the Power BI Service
Introduction to Q & A
Module Outro
Understanding Data Modeling in Power BI
Introduction to Data Modeling
Why build a Data Model?
Step 1 – 4 of Building a Data Model
Step 5 of Building a Data Model
Preparing Data Model Files in Power Query
Extracting the Fact and Dimension Tables
Investigating & Resolving issues with Relationships 1
Investigating & Resolving issues with Relationships 2
Testing the Relationships in Report View
Introduction to DAX
Data Analysis Expressions (DAX)
Introduction to DAX
Using CALENDARAUTO() to generate a Calendar Table
Using FORMAT() Function to add Month, Year and Quarter Columns to Calendar
Connecting the Calendar Table to the Fact Table
Using the MONTH() Function to Create a Custom Sort Column for the Month Column
Writing simple Aggregation Measure
Aggregation Measures
Understanding Filter Context 1
Understanding Filter Context 2
Introduction to CALCULATE() function
Creating a shell table to keep Measures
Writing Time Intelligence Formulas – the PREVIOUSMONTH() Function
Calculating Month on Month Variance
Using the REMOVEFILTERS() function and Calculating Percentage share
Using SAMEPERIODLASTYEAR() to calculate SPLY Values
Calculating Year to Date Values
Automatic Measures with Quick Measures
Time intelligence Formulas
Visualizing the Measures
Customizing the Report Theme
Creating a Report Page Template
Visualizing Monthly Revenue vs SPLY on a Line Chart
Creating a Forecast from a Line Chart
Visualizing Monthly Variance with a Waterfall Chart
Creating a Matrix Table report with Data Bars
Creating a simple Donut Chart
Visualizing Current & Previous Period with Clustered Bar Chart
Visualizing Changes in ranking over time with Ribbon Chart
Data Preparation Techniques
Introduction to Data Preparation
Using Append method to combine Excel Worksheets
Using Workbook Property Method to combine Excel Worksheets
Comparing Append & Workbook Property Consolidation Methods
Consolidating Clean Excel Workbooks from a Folder
Consolidating un-clean Excel Workbooks from a Folder
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