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Analyzing Data with Microsoft Power BI

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Analyzing Data with Microsoft Power BI

Course Objectives

By the end of the programme, participants will be able to:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

Course Outline

Module 1: Get Started with Microsoft Data Analytics

  • Data Analytics and Microsoft
  • Getting Started with Power BI
    Lab : Getting Started
    ▪ Getting Started

Module 2: Prepare Data in Power BI

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors
    Lab : Preparing Data in Power BI Desktop
    ▪ Prepare Data

Module 3: Clean, Transform, and Load Data in Power BI

  • Data shaping
  • Enhance the data structure
  • Data Profiling
    Lab : Transforming and Loading Data ▪ Loading Data

Module 4: Design a Data Model in Power BI

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
    Lab : Data Modeling in Power BI Desktop
    ▪ Create Model Relationships
    ▪ Configure Tables
    ▪ Review the model interface
    ▪ Create Quick Measures
    Lab : Advanced Data Modeling in Power BI Desktop
    • Configure many-to-many relationships
    • Enforce row-level security

Module 5: Create Measures using DAX in Power BI

  • Introduction to DAX
  • DAX context
  • Advanced DAX
    Lab : Introduction to DAX in Power BI Desktop
    ▪ Create calculated tables
    ▪ Create calculated columns
    ▪ Create measures
    Lab : Advanced DAX in Power BI Desktop
    ▪ Use the CALCULATE() function to manipulate filter context
    ▪ use Time Intelligence functions

Module 6: Optimize Model Performance

  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations

Module 7: Create Reports

  • Design a report
  • Enhance the report
    Lab : Designing a report in Power BI
    ▪ Create a live connection in Power BI Desktop
    ▪ Design a report
    ▪ Configure visual fields adn format properties
    Lab : Enhancing Power BI reports with interaction and formatting
    ▪ Create and configure Sync Slicers
    ▪ Create a drillthrough page
    ▪ Apply conditional formatting
    ▪ Create and use Bookmarks

Module 8: Create Dashboards

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
    Lab : Designing a report in Power BI Desktop - Part 1
    ▪ Create a Dashboard
    ▪ Pin visuals to a Dashboard
    ▪ Configure a Dashboard tile alert
    ▪ Use Q&A to create a dashboard tile

Module 9: Create Paginated Reports in Power BI

  • Paginated report overview
  • Create Paginated reports
    Lab : Creating a Paginated report
    ▪ Use Power BI Report Builder
    ▪ Design a multi-page report layout
    ▪ Define a data source
    ▪ Define a dataset
    ▪ Create a report parameter
    ▪ Export a report to PDF

Module 10: Perform Advanced Analytics

  • Advanced Analytics
  • Data Insights through AI visuals
    Lab : Data Analysis in Power BI Desktop
    ▪ Create animated scatter charts
    ▪ Use teh visual to forecast values
    ▪ Work with Decomposition Tree visual
    ▪ Work with the Key Influencers visual

Module 11: Create and Manage Workspaces

  • Creating Workspaces
  • Sharing and Managing Assets
    Lab : Publishing and Sharing Power BI Content
    ▪ Map security principals to dataset roles
    ▪ Share a dashboard
    ▪ Publish an App

Module 12: Manage Datasets in Power BI

• Parameters
• Datasets

Module 13: Row-level security

  • Security in Power BI

Who Should Attend

  • The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Course Pre-requisites

  • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.

Course Details

  • Course Title: Analyzing Data with Microsoft Power BI
  • Class Schedule: TBA
  • Time: 9am to 5pm
  • Duration (Days): 3 days
  • Certification Body: Microsoft

Course Fee = RM2,800

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