Design and Manage Analytics Solutions using Power BI (PL-300)

Microsoft Power BI Data Analyst (PL-300) Introduction

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.

Microsoft Power BI Data Analyst (PL-300) Course Objectives

By the end of this course, participants will:

• Understand Data Modeling: Learn the principles of data modeling and how to apply them within Power BI.
• Master Data Visualization: Gain expertise in creating informative and engaging visualizations that succinctly convey the story behind the data.
• Develop Comprehensive Reports: Acquire the skills to design detailed reports and dashboards that are both functional and visually appealing.
• Efficient Data Management: Understand how to manage, share, and deploy reports and dashboards effectively within Power BI.
• Practical Application: Apply learned concepts through hands-on projects to real-world scenarios, enhancing your capability to make data-driven decisions.

Prerequisites

• Understanding of core data concepts
• Knowledge of working with relational data in the cloud
• Knowledge of working with non-relational data in the cloud
• Familiarity with data analysis and visualization concepts

Audience

• Data professionals
• Business intelligence professionals
• Those who want to learn how to perform data analysis using Microsoft Power BI (PL-300)
• Report developers who work with data from both cloud and on-premises sources

Microsoft Power BI Data Analyst (PL-300) Outline

Get Started with Microsoft Data Analytics

In this Learning Path, businesses need data analysis more than ever. In this learning path, you will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise.

• Explore the roles in data analysis
• Get started building with Power BI

Prepare Data for Analysis with Power BI

In this Learning Path, you’ll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You’ll also learn to profile, clean, and load data into Power BI before you model your data.

• Get data in Power BI
• Clean, transform and load data in Power BI
• Prepare data in Power BI

Model Data with Power BI

In this Learning Path, learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.

• Design a data model in Power BI
• Write DAX formulas for Power BI Desktop models
• 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

Build Power BI Visuals and Reports 

In this Learning Path, turn data into interactive, actionable insights with Power BI Desktop visuals and reports.

• Design Power BI reports
• Configure Power BI report filters
• Enhance Power BI report designs for the user experience
• Perform analytics in Power BI

Manage Workspaces and Datasets in Power BI 

In this Learning Path, you’ll learn how to publish Power BI reports to the Power BI service. You’ll also learn how to create workspaces, manage related items, and data refreshes for up-to-date reports. Additionally, implement row-level security to restrict user access to relevant data without the need for multiple reports.

• Create and manage workspaces in Power BI
• Manage datasets in Power BI
• Create dashboards in Power BI
• Implement row-level security