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MS Power BI

Unlock the power of data by transforming raw information into actionable insights through advanced visualization and modeling.

Duration

2 Days

Language

English

Delivery Mode

Online/Hybrid/Face-to-Face

Course Overview

Welcome to the Mastering Microsoft Power BI course: Data Visualization and Business Intelligence. Power BI is a powerful business intelligence and data visualization tool that allows users to connect to various data sources, transform data, and create interactive visualizations and reports. This course will provide you with the knowledge and skills to effectively leverage Power BI to analyze data, gain insights, and make data-driven decisions.

Learning Objectives

  • Connect to diverse data sources and perform advanced data cleaning and transformation.
  • Develop robust data models by establishing complex relationships and hierarchies.
  • Create compelling, interactive visualizations and dashboards for effective data storytelling.
  • Write advanced DAX formulas to perform deep-dive statistical and business data analysis.
  • Manage report distribution and security protocols within the Power BI cloud environment.
  • Integrate predictive analytics and automated workflows to enhance organizational intelligence.

Course Outline

Modules

  • Module 1: Introduction to Power BI

    • Understanding the role of Power BI in business intelligence
    • Exploring the Power BI ecosystem and components
    • Navigating the Power BI interface and workspace
    • Connecting to data sources and importing data into Power BI

  • Module 2: Data Transformation and Modeling

    • Cleaning and shaping data using Power Query Editor
    • Transforming data with Power Query functions and formulas
    • Creating relationships between data tables
    • Implementing data modeling best practices

  • Module 3: Creating Visualizations

    • Using the Power BI Desktop to design visualizations
    • Working with different chart types and visuals
    • Enhancing visualizations with formatting and customization options
    • Utilizing interactive features and filters

  • Module 4: Advanced Data Analysis with DAX

    • Understanding Data Analysis Expressions (DAX)
    • Writing DAX formulas for calculated columns and measures
    • Applying advanced DAX functions for data analysis
    • Creating calculated tables and hierarchies

  • Module 5: Advanced Visualization Techniques

    • Building interactive dashboards and reports
    • Utilizing custom visuals and marketplace extensions
    • Implementing advanced formatting options and themes
    • Designing effective data storytelling visualizations

  • Module 6: Sharing and Collaboration

    • Publishing and sharing Power BI reports and dashboards
    • Configuring security and access controls
    • Collaborating with colleagues using Power BI workspaces
    • Using Power BI mobile app for on-the-go access

  • Module 7: Data Refresh and Gateway Configuration

    • Configuring data refresh options for up-to-date reports
    • Creating and managing data gateways
    • Scheduling and automating data refresh processes

  • Module 8: Power BI Service and Administration

    • Exploring the Power BI service features and capabilities
    • Administering Power BI workspaces and access rights
    • Monitoring and optimizing Power BI performance
    • Implementing governance and compliance policies

  • Module 9: Advanced Analytics with Power BI

    • Introduction to advanced analytics features in Power BI
    • Implementing predictive analytics with machine learning models
    • Utilizing AI visuals and natural language queries
    • Incorporating R and Python scripts for advanced analytics

  • Module 10: Power BI and Data Integration

    • Connecting Power BI with external data sources
    • Integrating Power BI with Azure services
    • Utilizing Power Automate for workflow automation
    • Exploring Power BI APIs and custom development options

Certification

OrientMCT Certified

Who Should Attend

Data Analysts

Financial Controllers

Business Intelligence Managers

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