PL-300 Microsoft Power BI Data Analyst Training - OEM Certkit

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.

Course content

Prerequisites:
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically:
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.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals (DP-900) before taking this course.

Course outcome:
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

Who should attend:
The audience for this course is 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.

CertKit content:
      E-learning courses:
         Data Preparation and Processing: Using Power BI for Data Analysis
         Data Preparation and Processing: Loading & Transforming Data in Power BI
         Data Preparation and Processing: Preparing Data for Visualizations in Power BI
         Understanding Data Visualization
         Creating & Formatting Charts In Power BI
         Power BI Data Model Design: An Overview of Data Modeling
         Power BI Data Model Design: Applying the DAX Formula Language
         Power BI Data Model Design: Working with Filters
         Power BI Data Model Design: Using Time Intelligence
         Power BI Data Model Design: Advanced Modeling Technique
         Leveraging Power BI with Ribbon, Line, Column, & Pie Charts
         Maps, Waterfall Charts, & Scatter Plots in Power BI
         Matrix & Treemap Controls in Power BI
         Using the Power BI Service
         Analysis & Sharing Features in Power BI
         Applying Power BI's Advanced Analysis Features
         Sharing Power BI Reports & Workspaces
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