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Power BI for Business Intelligence: Data Analytics and Automation

Dates Venues Register
31/01/2027 - 04/02/2027 MADRID

Introduction

Power BI for Business Intelligence: Data Analytics and Automation

 

 

Course Objectives:

By the end of this training course, participants will be able to:

  • Understand core BI concepts and the importance of data-driven decision-making
  • Navigate the Power BI interface and utilize its features for data transformation and visualization
  • Import and clean data from multiple sources to prepare it for analysis
  • Create interactive and visually engaging dashboards and reports
  • Apply DAX (Data Analysis Expressions) to enhance analytical capabilities within Power BI
  • Share insights and collaborate effectively using Power BI Service and Power BI Mobile
  • Understand and implement data security and governance within Power BI

Course Outline:

Day One: Introduction to Business Intelligence and Power BI Fundamentals
  • Overview of Business Intelligence and its role in decision-making
  • Introduction to Power BI components: Power BI Desktop, Power BI Service, and Power BI Mobile
  • Power BI interface and navigation basics
  • Connecting to data sources (Excel, SQL Server, web sources, etc.)
  • Data import techniques and understanding data types
  • Hands-on: Setting up Power BI Desktop and importing sample datasets
Day Two: Data Transformation and Preparation Using Power Query
  • Introduction to Power Query and its ETL (Extract, Transform, Load) functions
  • Data cleaning techniques: handling missing data, removing duplicates, filtering
  • Data transformation: merging, appending, pivoting, and unpivoting data
  • Creating calculated columns and tables for enhanced analysis
  • Practical exercise: Transforming raw data into a structured format using Power Query
Day Three: Data Modeling and DAX Basics
  • Importance of data modeling and relationships in BI
  • Creating and managing data relationships in Power BI
  • Introduction to DAX (Data Analysis Expressions) and its functions
  • Calculated columns vs. measures
  • Essential DAX functions: SUM, AVERAGE, COUNT, CALCULATE, and FILTER
  • Building hierarchies and creating time intelligence in Power BI
  • Hands-on practice: Developing a data model and applying basic DAX expressions
Day Four: Visualizing Data with Power BI
  • Choosing the right visual for data representation: tables, charts, maps, and gauges
  • Customizing visuals and formatting options for impactful storytelling
  • Interactive features: slicers, filters, and drill-through for dynamic reporting
  • Creating interactive dashboards with KPI indicators and scorecards
  • Best practices for designing intuitive and effective reports
  • Hands-on session: Building a fully interactive dashboard using sample data
Day Five: Publishing, Sharing, and Power BI Service
  • Publishing reports to the Power BI Service and setting up workspaces
  • Understanding and managing user roles and permissions
  • Creating and managing datasets, reports, and dashboards in the cloud
  • Introduction to Power BI Mobile for on-the-go access to reports
  • Collaboration and sharing options: sharing dashboards, embedding, and export options
  • Data security and governance in Power BI: Row-level security, data refresh, and scheduling
  • Hands-on exercise: Publishing a report and sharing it with stakeholders

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