MS PL 300 Microsoft Power BI Data Analyst

POWER BI FLOWCHART

Course Length:  4-Days

Course 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.

The audience for this course is 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.

Skills Gained

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• 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

Prerequisites

• Basic knowledge of the Microsoft Windows operating system and its core functionality.
• Good Knowledge of Excel spreadsheets, functions, and charts.
• Working knowledge of relational databases.
• Power BI (introduction)
• MS PL 900 Microsoft Power Platform Fundamentals

Course Outline

Get Started with Microsoft Data Analytics

• Explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts
• Explores the landscape of the Power BI portfolio.

Prepare Data in Power BI

• Explores identifying and retrieving data from various data sources
• Learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it

Clean, Transform, and Load Data in Power BI

• Teaches you the process of profiling and understanding the condition of the data
• 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

Design a Data Model in Power BI

• Teaches the fundamental concepts of designing and developing a data model for proper performance and scalability
• Help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Create Model Calculations using DAX in Power BI

• Introduces you to the world of DAX and its true power for enhancing a model
• Learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Optimize Model Performance in Power BI

• Introduced to steps, processes, concepts, and data modeling
• Best practices that are necessary to optimize a data model for enterprise-level performance.

Create Reports in Power BI

• 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
• Designing for accessibility

Create Dashboards in Power BI

• Learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation
• Introduced to features and functionality
• How to enhance dashboards for usability and insights

Enhance reports for usability and storytelling in Power BI

• Paginated reports, what they are how they fit into Power BI
• Learn how to build and publish a report

Perform Advanced Analytics in Power BI

• Apply additional features to enhance the report for analytical insights into the data
• Equip you with the steps to use the report for actual data analysis
• Perform advanced analytics using AI visuals on the report for even deeper and more meaningful data insights

Manage Datasets in Power BI

• Learn the concepts of managing Power BI assets, including datasets and workspaces
• Publish datasets to the Power BI service, then refresh and secure them.

Create and Manage Workspaces in Power BI

• Introduce you to Workspaces
• Learn how to create and manage them
• Learn how to share content, including reports and dashboards
• Learn how to distribute an App.

Publishing to Microsoft Apps

• Teams
• SharePoint
• PowerPoint