Exam PL-300 Microsoft Power BI Data Analyst (Video)

6+ Hours of Video Instruction

Prepare for Microsoft Exam PL-300 and demonstrate your mastery of Power BI data analysis.

This Exam PL-300 Microsoft Power BI Data Analyst video is designed for data analysts responsible for designing scalable data models, cleaning and transforming data, and presenting analytic insights through data visualizations using Power BI. This video focuses on the skills measured by the exam objectives, as updated by Microsoft on February 28, 2022:

• Prepare the data
• Model the data
• Visualize and analyze the data
• Deploy and maintain assets

Using his years of experience teaching Power BI to a variety of learners, Microsoft Certified Trainer Chris Sorensen explains how to optimize Power BI features and functions and prepares you for what to expect on the PL-300 exam. In his engaging style that is grounded in real-world scenarios, Chris gives you insights to navigate and build effective Power BI solutions, quickly and effectively. With Chris as your guide, you are well-equipped to advance in your career as a data analyst.

Topics Include:

Module 1: Prepare the Data

   Lesson 1: Get Data from Different Data Sources

   Lesson 2: Clean, Transform, and Load the Data

Module 2: Model the Data

   Lesson 3: Design a Data Model

   Lesson 4: Develop a Data Model

   Lesson 5: Create Model Calculations by Using DAX

   Lesson 6: Optimize Model Performance

Module 3: Visualize and Analyze the Data

   Lesson 7: Create Reports

   Lesson 8: Create Dashboards

   Lesson 9: Enhance Reports for Usability and Storytelling

   Lesson 10: Identify Patterns and Trends

Module 4: Deploy and Maintain Assets

   Lesson 11: Manage Files and Datasets

   Lesson 12: Manage Workspaces

Skill Level:

• Intermediate

Who Should Take This Course:

• Certification candidates preparing for exam PL-300 Microsoft Power BI Data Analyst
• Data analysts who want to use Microsoft Power BI to maximize their data assets
• Business intelligence professionals who want to advance their knowledge of data processing and analytics

Course Requirements:

• Power BI Desktop installed on your machine
• Access to the Power BI service
• Familiarity with the end-to-end process of connecting to data sources, cleaning and transforming data, modeling data for self-service consumption, building reports, and securely distributing reports and dashboards

About Pearson Video Training:

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at  http://www.informit.com/video.

Table of Contents

Introduction

Module 1: Prepare the Data

Lesson 1: Get Data from Different Data Sources

   1.1 Identify and connect to a data source

   1.2 Change data source settings

   1.3 Select a shared dataset or create a local dataset

   1.4 Select a storage mode

   1.5 Use Microsoft Dataverse

   1.6 Change the value in a parameter

   1.7 Connect to a data flow

Lesson 2: Clean, Transform, and Load the Data

   2.1 Profile the data

   2.2 Resolve inconsistencies, unexpected or null values, and data quality issues

   2.3 Identify and create appropriate keys for joins

   2.4 Evaluate and transform column data types

   2.5 Shape and transform tables

   2.6 Combine queries

   2.7 Apply user-friendly naming conventions to columns and queries

   2.8 Configure data loading

   2.9 Resolve data import errors

Module 2: Model the Data

Lesson 3: Design a Data Model

   3.1 Define the tables and design a data model that uses a star schema

   3.2 Configure table and column properties

   3.3 Design and implement role-playing dimensions

   3.4 Define a relationship's cardinality and cross-filter direction

   3.5 Create a common date table

Lesson 4: Develop a Data Model

   4.1 Create calculated tables

   4.2 Create hierarchies

   4.3 Create calculated columns

   4.4 Implement row-level security roles

   4.5 Use the Q&A feature

Lesson 5: Create Model Calculations by Using DAX

   5.1 Create basic measures by using DAX

   5.2 Use CALCULATE to manipulate filters

   5.3 Implement Time Intelligence using DAX

   5.4 Replace implicit measures with explicit measures

   5.5 Use basic statistical functions

   5.6 Create semi-additive measures

   5.7 Use quick measures

Lesson 6: Optimize Model Performance

   6.1 Remove unnecessary rows and columns

   6.2 Identify poorly performing measures, relationships, and visuals

   6.3 Reduce cardinality levels to improve performance

Module 3: Visualize and Analyze the Data

Lesson 7: Create Reports

   7.1 Add visualization items to reports

   7.2 Choose an appropriate visualization type

   7.3 Format and configure visualizations

   7.4 Use a custom visual

   7.5 Apply and customize a theme

   7.6 Configure conditional formatting

   7.7 Apply slicing and filtering

   7.8 Configure the report page

   7.9 Use the Analyze in Excel feature

   7.10 Choose when to use a paginated report

Lesson 8: Create Dashboards

   8.1 Manage tiles on a dashboard

   8.2 Configure mobile view

   8.3 Use the Q&A feature

   8.4 Add a Quick Insights result to a dashboard

   8.5 Apply a dashboard theme

   8.6 Pin a live report page to a dashboard

Lesson 9: Enhance Reports for Usability and Storytelling

   9.1 Configure bookmarks

   9.2 Create custom tooltips

   9.3 Edit and configure interactions between visuals

   9.4 Configure navigation for a report

   9.5 Apply sorting

   9.6 Configure Sync Slicers

   9.7 Group and layer visuals by using the selection pane

   9.8 Drilldown into data using interactive visuals

   9.9 Export report data

   9.10 Design reports for mobile devices

Lesson 10: Identify Patterns and Trends

   10.1 Use the Analyze feature in Power BI

   10.2 Identify outliers

   10.3 Choose between continuous and categorical axes

   10.4 Use groupings, binnings, and clustering

   10.5 Use AI visuals

   10.6 Use the Forecast feature

   10.7 Create reference lines by using the Analytics pane

Module 4: Deploy and Maintain Assets

Lesson 11: Manage Files and Datasets

   11.1 Identify when a gateway is required

   11.2 Configure a dataset scheduled refresh

   11.3 Configure row-level security group membership

   11.4 Provide access to datasets

   11.5 Manage global options for files

Lesson 12: Manage Workspaces

   12.1 Create and configure a workspace

   12.2 Assign workspace roles

   12.3 Configure and update a workspace app

   12.4 Publish, import, or update assets in a workspace

   12.5 Apply sensitivity labels to workspace content

   12.6 Configure subscriptions and data alerts

   12.7 Promote or certify Power BI content

Summary

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