PL-300-AO: Building a Customized & Dynamic Report & Dashboard
Data analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As subject matter experts, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
PL-300-AO: Building a Customized & Dynamic Report & Dashboard
Data analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As subject matter experts, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. Data analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
This session will explore what is the concept of Report Automation where you can create Advanced Dynamic Report in few steps. Working with few useful options while cleaning & preparing data. Designing a data model with non-active relationship which help us in Realtime scenario. Will also make understand Customization in Dashboard.
Skills Covered
Explore the concept of Report Automation where you can create Advanced Dynamic Report
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.
Course Curriculum
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.
