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.
Required knowledge
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 before taking this course (PL-900).
Target audience
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 content
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lesson
Data Analytics and Microsoft
Getting Started with Power BI
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Lesson
Get data from various data sources
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lesson
Data shaping
Data Profiling
Enhance the data structure
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lesson
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lesson
Introduction to DAX
Real-time dashboards
Advanced DAX
Module 6: Optimize Model Performance in Power BI
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
Lesson
Optimize the data model for performance
Optimize DirectQuery Models
Module 7: Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lesson
Design a report
Enhance the report
Module 8: Create Dashboards in Power BI
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lesson
Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Module 9: Identify Patterns and Trends in Power BI
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
Lesson
Advanced Analytics
Data Insights through AI visuals
Module 10: Create and Manage Workspaces in Power BI
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lesson
Creating Workspaces
Sharing and Managing Assets
Module 11: Manage Files and Datasets in Power BI
This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.
Lesson
Parameters
Datasets
Module 12: Row-level Security in Power BI
This module will introduce you to row-level security, both static and dynamic methods, and how to implement.
Lesson
Security in Power BI
Materials
Materials are in electronic form.
Objectives
After completing this course, students 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
Create paginated reports in Power BI
Do you want thistailor-made course for your company?
Microsoft Power BI is a powerful platform for data analysis and visualization. You can easily connect all the company's data sources to it, no matter where they are or in any format. In a user-friendly environment, it creates interactive visualizations that bring data to life and facilitate the recognition of trends and insights.
We took a closer look at Microsoft Azure certifications, also known as AZ. Microsoft's certification map is extensive and at first glance it may not be easy to understand it. That's why we're here to help you with that.
It's important for administrators to understand the interconnectedness and the strength of the entire platform. A conversation with lecturer Matyáš Koc, a certified Microsoft solutions trainer.
Microsoft Power BI is a powerful platform for data analysis and visualization. You can easily connect all the company's data sources to it, no matter where they are or in any format. In a user-friendly environment, it creates interactive visualizations that bring data to life and facilitate the recognition of trends and insights.
We took a closer look at Microsoft Azure certifications, also known as AZ. Microsoft's certification map is extensive and at first glance it may not be easy to understand it. That's why we're here to help you with that.
It's important for administrators to understand the interconnectedness and the strength of the entire platform. A conversation with lecturer Matyáš Koc, a certified Microsoft solutions trainer.
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