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This course has been updated to MS PL 300 Microsoft Power BI Data Analyst. Please proceed to the following link:

MS PL 300 Microsoft Power BI Data Analyst

 

About This Course

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Audience Profile

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 both in the cloud and on-premises.

At Course Completion

  • After completing this course, you 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

Prerequisites

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Good Knowledge of Excel spreadsheets, functions, and charts.
  • Working knowledge of relational databases.

Course Outline

Module 1: Get Started with Microsoft Data Analytics

Lessons

  • Data Analytics and Microsoft
  • Getting Started with Power BI

Module 2: Prepare Data in Power BI

Lessons

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors

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

Lessons

  • Data shaping
  • Enhance the data structure
  • Data Profiling

Module 4: Design a Data Model in Power BI

Lessons

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies

Module 5: Create Measures using DAX in Power BI

Lessons

  • Introduction to DAX
  • DAX context
  • Advanced DAX

Module 6: Optimize Model Performance

Lessons

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

Module 7: Create Reports

Lessons

  • Design a report
  • Enhance the report

Module 8: Create Dashboards

Lessons

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard

Module 9: Create Paginated Reports in Power BI

Lesson

  • Paginated report overview
  • Create Paginated reports

Module 10: Perform Advanced Analytics

Lessons

  • Advanced Analytics
  • Data Insights through AI visuals

Module 11: Create and Manage Workspaces

Lessons

  • Creating Workspaces
  • Sharing and Managing Assets

Module 12: Manage Datasets in Power BI

Lessons

  • Parameters
  • Datasets

Module 13: Row-level security

Lessons

  • Security in Power BI

 

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