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Microsoft Power BI Data Analyst

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Date(s): Dec 03, 2024 - Dec 04, 2024
Time: 8:00AM - 4:30PM
Registration Fee: $599.00
Cancellation Date: Nov 26, 2024
Location: SAO COMPUTER TRAINING ROOM
City:
Local Hotels:
Parking Info:

Parking for SAO, Professional Development courses is in Garage B (1511 San Jacinto Blvd.). The Garage signage may read 1511 San Jacinto or Garage B. The elevator in Garage B is not reliable. If you are unable to walk the stairs, please contact the professionaldevelopment@sao.texas.gov for alternate parking arrangements. Handicapped parking is free at the meters around the downtown area.

A course coordinator will email you a parking permit prior to the course start date. A permit must be displayed or you will be ticketed.


Course Description

This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. 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.


Potential CPE Credits: 16.0
Technical Hours: This class meets 16.0 CPE credits of technical training in compliance with Texas Admin. Code Rule 523.102.

Instruction Type: Live
Experience Level: INTERMEDIATE
Category: Information Technology

Course Objectives

Upon completion of this course, 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

 

Detailed Course Outline

  • Get started building with Power BI

  • Get data in Power BI

  • Clean, transform, and load data in Power BI

  • Design a semantic model in Power BI

  • Add measures to Power BI Desktop models

  • Add calculated tables and columns to Power BI Desktop models

  • Use DAX time intelligence functions in Power BI Desktop models

  • Optimize a model for performance in Power BI

  • Design Power BI reports

  • Configure Power BI report filters

  • Enhance Power BI report designs for the user experience

  • Perform analytics in Power BI

  • Create and manage workspaces in Power BI

  • Manage semantic models in Power BI

  • Create dashboards in Power BI

  • Implement row-level security


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


Instructors

Edgar Machado

Edgar has been working as a software skills instructor for more than 20 years with Power BI, Microsoft SQL Server, and MS Office as primary areas of expertise.  As a professional software educator, Edgar realizes that being able to effectively conduct training requires a unique and specialized skillset.  He utilizes the Adult Learning Method to foster knowledge transfer in an easy-to-follow manner.  Edgar has very strong communication skills and many years of public speaking experience. His communication skills coupled with vast technical experience allow him to easily present potentially complex topics in an easy-to-understand manner. Whether working with non-technical workers or highly skilled developers/administrators, Edgar can adapt the communication approach to convey knowledge and foster understanding. He has delivered training to a broad range of audiences that extend from companies with smaller specialized teams to enterprise customers. A key mantra he abides by is to never stop learning.


Additional Information

Participants need to bring their own device and have access to Power BI.


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