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.
Audience profile
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.
Job role: Data Analyst
Preparation for the exam: DA-100
Skills gained
- 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
Prerequisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
Curriculum
-
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.
-
Module 1 Lab : Getting Started
Getting Started After completing this module, you will be able to:
-
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.
-
Module 2 Lab : Preparing Data in Power BI Desktop
Prepare Data After completing this module, you will be able to:
-
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.
-
Module 3 Lab : Transforming and Loading Data
Loading Data After completing this module, students will be able to:
-
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.
-
Module 4 Lab 1 : Data Modeling in Power BI Desktop
-
Module 4 Lab 2 : Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships Enforce row-level security After completing this module, you will be able to:
-
Module 5: Create Measures 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.
-
Module 5 Lab 1 : Introduction to DAX in Power BI Desktop
-
Module 5 Lab 2 : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context use Time Intelligence functions After completing this module, you will be able to:
-
Module 6: Optimize Model Performance
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.
-
Module 7: Create Reports
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.
-
Module 7 Lab : Designing a report in Power BI
-
Module 7 Lab : Enhancing Power BI reports with interaction and formatting
Create and configure Sync Slicers Create a drillthrough page Apply conditional formatting Create and use Bookmarks After completing this module, you will be able to:
-
Module 8: Create Dashboards
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.
-
Module 8 Lab : Designing a report in Power BI Desktop - Part 1
Create a Dashboard Pin visuals to a Dashboard Configure a Dashboard tile alert Use Q&A to create a dashboard tile After completing this module, students will be able to:
-
Module 9: Create Paginated Reports in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
-
Module 9 Lab : Creating a Paginated report
Use Power BI Report Builder Design a multi-page report layout Define a data source Define a dataset Create a report parameter Export a report to PDF After completing this module, you will be able to:
-
Module 10: Perform Advanced Analytics
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.
-
Module 10 Lab : Data Analysis in Power BI Desktop
Create animated scatter charts Use teh visual to forecast values Work with Decomposition Tree visual Work with the Key Influencers visual After completing this module, you will be able to:
-
Module 11: Create and Manage Workspaces
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.
-
Module 11 Lab : Publishing and Sharing Power BI Content
Map security principals to dataset roles Share a dashboard Publish an App After completing this module, you will be able to:
-
Module 12: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.Parameters Datasets After completing this module, you will be able to:
-
Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.Security in Power BI After completing this module, you will be able to:
