Transform Your Team's Data Skills with Power BI Desktop Essentials

In today’s fast-paced business environment, data is king.

Equip your team with the skills to harness it in our 2-day Power BI Desktop Essentials training, tailored for professionals ready to elevate their data analysis and drive actionable insights.

Why Power BI Essentials?

Drive Innovation

Empower your team to turn data into impactful business strategies.

Enhance Efficiency

Streamline data workflows and improve decision-making speed.

Stay Competitive

Keep your business ahead with advanced data visualization and reporting tools.

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What you'll learn

  • Navigate and effectively use Power BI Desktop for advanced data analysis.
  • Seamlessly connect to various data sources, including Excel, Access, and more.
  • Perform data transformations using Power Query, including basic and advanced techniques.
  • Create compelling visualizations using matrices, tables, charts, and other visual tools.
  • Develop interactive dashboards for dynamic and engaging user experiences.
  • Gain proficiency in using Data Analysis Expressions (DAX) for data manipulation and aggregation.

This is for you if

  • You are an intermediate to advanced data user seeking to enhance your data modeling and business intelligence skills.
  • You want to become a POWER USER and significantly boost your analytics capabilities.
  • You are looking for a comprehensive understanding of Power BI’s features for impactful data analysis and visualization.
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Course Outline

01 Introduction

What is Power BI?
The Building Blocks of Power BI
The Power BI Desktop Interface
Important Information About Power BI Updates
The Power BI Web App

02 Working with Power BI Desktop Files

Opening Files
Saving Files
Creating a New File
Publishing to the Power BI Web App

03 Connecting to Data Sources with Power BI Desktop

Connecting to an Excel Workbook
Connecting to an Access Database
Viewing All Connection Options
Creating a Manual Dataset
Managing Data Sources

04 Data Structure and Data Normalization Power BI Data Model

Power BI Data Types
Making data fitted to the Data Model
Discovering different Data Formats

05 Introduction to Power Query

Overview of Power Query
Benefits of using Power Query
Differences between Power Query and other data extraction tools

06 Basic Data Transformation

What is Data Transformation?
Role of Power Query in Data Transformation
Basic Transformation through Data types, Filters, and Removing Columns

07 Advanced Transformations

Using Power Query functions (text, date, time, number, etc.)
Implementing custom functions in Power Query
Grouping and aggregating data
Using conditional transformations
Unpivoting and pivoting data
Dealing with large data sets and performance optimization

08 Working with Advanced Data Sources

Consolidate Excel or CSV files using “From Folder” source
Extracting data from APIs using Power Query
Web scraping using Power Query
Extracting and Linking from PDF
Dealing with complex data structures

09 Managing Relationships in the Data Model

Using the Relationships View
Creating Relationships
Editing Relationships
Deleting Relationships
Using the Manage Relationships Dialog

10 Intro Data Analysis eXpressions (DAX)

Overview of DAX, its syntax, and structure
Understanding the role of DAX in data analysis and reporting
Creating a New Calculated Column
Creating a New Measure
Using DAX functions for data manipulation and aggregation

11 Visualization

Overview of Visualization
Introduction on Report Pages
Adding Table and Matrix
Adding a Column Chart
Configuring Visualization

12 Visual Interactions and Filters

Introduction to Visual Interactions
Turning Interactions On and Off
Interacting by Filtering, Highlight or None
Working with Filters
The Filter pane
Slicers

13 Creating Dashboards

Reports to Dashboards
Pin Visualizations
Refreshing Dashboard
Defining Hyperlinks
Using Bookmarks for more
Interactions

14 Publishing to Power BI Service (Fabric)

Log in to Microsoft 365 and access Power BI Service (Fabric)
Explore the Power BI Service Environment
Publishing Power BI Report
Sharing your Power BI Report

Training Schedule

August 27 to 28
September 30 to October 1
November 25 to 26
December 19 to 20

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