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TrainingData & analytics / Data & AIPL-300

PL-300Microsoft · authorised trainingLeads to an exam

Design and manage analytics solutions using Power BI

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.

Duration
3 days
Level
Intermediate
Provider
Microsoft
Topic
Data & analytics / Data & AI

Course outline

  • Data Analytics and Microsoft
  • Getting Started with Power BI
  • Data Analytics and Microsoft
  • Optimize Performance
  • Resolve Data Errors
  • Lab: Preparing Data in Power BI Desktop
  • Shaping the Data
  • Profiling the Data
  • Enhance the data structure
  • Lab: Loading Data in Power BI Desktop
  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • Lab: Data Modeling in Power BI Desktop
  • Introduction to DAX
  • Real-time dashboards
  • Advanced DAX
  • Lab: Introduction to DAX in Power BI Desktop
  • Lab: Advanced DAX in Power BI Desktop
  • Optimize the data model for performance
  • Optimize DirectQuery Models
  • Design a report
  • Enhance the report
  • Lab: Enhancing reports with interaction and formatting in Power BI Desktop
  • Lab: Designing a report in Power BI Desktop
  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
  • Lab: Creating a Dashboard in Power BI Service
  • Advanced Analytics
  • Data Insights through AI visuals
  • Lab: Data Analysis in Power BI Desktop
  • Creating Workspaces
  • Sharing and Managing Assets
  • Parameters
  • Datasets
  • Security in Power BI
  • Lab: Enforce Row-Level Security

Skills you will gain

  • 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

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.

Prerequisites

  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.

Certification

Exam

PL-300: Microsoft Power BI Data Analyst

This course prepares you for this exam.

Exam details