PL-300: Microsoft Power BI Data Analyst

Live, Online

Class Schedule

Category	ID	Duration	Level	Price
Power BI	M20778	3 Day(s)	Intermediate	$1,895.00

PL-300: Microsoft Power BI Data Analyst

Live, Online Class Schedule

Delivery Format	Date	Time	Register
Live Online	01/08/2025 - 01/10/2025	10:00 AM - 4:45 PM EST	Register
Live Online	01/20/2025 - 01/22/2025	10:00 AM - 4:45 PM EST	Register
Live Online	02/05/2025 - 02/07/2025	10:00 AM - 4:45 PM EST	Register
Live Online	02/17/2025 - 02/19/2025	10:00 AM - 4:45 PM EST	Register
Live Online	03/03/2025 - 03/05/2025	10:00 AM - 4:45 PM EST	Register
Live Online	03/19/2025 - 03/21/2025	10:00 AM - 4:45 PM EST	Register
Live Online	03/31/2025 - 04/02/2025	10:00 AM - 4:45 PM EST	Register
Live Online	04/16/2025 - 04/18/2025	10:00 AM - 4:45 PM EST	Register
Live Online	04/28/2025 - 04/30/2025	10:00 AM - 4:45 PM EST	Register
Live Online	05/14/2025 - 05/16/2025	10:00 AM - 4:45 PM EST	Register
Live Online	05/27/2025 - 05/29/2025	10:00 AM - 4:45 PM EST	Register
Live Online	06/11/2025 - 06/13/2025	10:00 AM - 4:45 PM EST	Register
Live Online	06/23/2025 - 06/25/2025	10:00 AM - 4:45 PM EST	Register
Live Online	07/09/2025 - 07/11/2025	10:00 AM - 4:45 PM EST	Register
Live Online	07/21/2025 - 07/23/2025	10:00 AM - 4:45 PM EST	Register

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Course Overview

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 Objectives

• 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

MCSA: SQL BI Development

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.

Analyzing Data with SQL Server Reporting Services - SSRS

Productivity Point Learning Solutions
evolved out of a desire to increase our outreach
both nationally and internationally.

Productivity Point Headquarters
1580 Sawgrass Corporate Parkway
Suite 205
Sunrise, Florida 33323
United States

Contact
T 1-844-238-8607
P 1-954-425-6141
F 1-954-928-9057
E info@productivitypointls.com

PL-300: Microsoft Power BI Data Analyst