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Exam PL-300 Microsoft Power BI Data Analyst (Video), 2nd Edition

Exam PL-300 Microsoft Power BI Data Analyst (Video), 2nd Edition

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  • Copyright 2024
  • Edition: 2nd
  • Online Video
  • ISBN-10: 0-13-532138-7
  • ISBN-13: 978-0-13-532138-6

Over 5 Hours of Video Instruction

Fully Updated! Prepare for Microsoft Exam PL-300 and level up in your career as a Power BI data analyst.


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 in April 2024:

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

Using his years of experience teaching Power BI to a variety of learners, 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 grounded in real-world scenarios, Chris gives you insights to navigate and build Power BI solutions, quickly and effectively. With Chris as your guide, you are well-equipped to advance in your career as a data analyst.

Skill Level

  • Intermediate

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

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 and deliver actionable insights
  • Business intelligence professionals who want to advance their knowledge of data processing and analytics

More about Microsoft Press:

Microsoft Press creates IT books and references for all skill levels across the range of Microsoft technologies. https://www.microsoftpressstore.com/

More 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.

 Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Sample Content

Table of Contents


Module 1: Prepare the Data

Lesson 1: Get data from data sources

Learning objectives

1.1 Identify and connect to a data source

1.2 Change data source settings, including credentials, privacy levels, and data source locations

1.3 Select a shared semantic model, or create a local semantic model

1.4 Choose between DirectQuery, Import, and Dual mode

1.5 Change the value in a parameter

Lesson 2: Clean the data

Learning objectives

2.1 Evaluate data, including data statistics and column properties

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

2.3 Resolve data import errors

Lesson 3: Transform and load the data

Learning objectives

3.1 Select appropriate column data types

3.2 Create and transform columns

3.3 Transform a query

3.4 Design a star schema that contains facts and dimensions

3.5 Identify when to use reference or duplicate queries and the resulting impact

3.6 Merge and append queries

3.7 Identify and create appropriate keys for relationships

3.8 Configure data loading for queries

Module 2: Model the Data

Lesson 4: Design and implement a data model

Learning objectives

4.1 Configure table and column properties

4.2 Implement role-playing dimensions

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

4.4 Create a common date table

4.5 Implement row-level security roles

Lesson 5: Create model calculations by using DAX

Learning objectives

5.1 Create single aggregation measures

5.2 Use CALCULATE to manipulate filters

5.3 Implement time intelligence measures

5.4 Identify implicit measures and replace with explicit measures

5.5 Use basic statistical functions

5.6 Create semi-additive measures

5.7 Create a measure by using quick measures

5.8 Create calculated tables

Lesson 6: Optimize model performance

Learning objectives

6.1 Improve performance by identifying and removing unnecessary rows and columns

6.2 Identify poorly performing measures, relationships, and visuals by using Performance Analyzer

6.3 Improve performance by choosing optimal data types

6.4 Improve performance by summarizing data

Module 3: Visualize and Analyze the Data

Lesson 7: Create reports

Learning objectives

7.1 Identify and implement appropriate visualizations

7.2 Format and configure visualizations

7.3 Use a custom visual

7.4 Apply and customize a theme

7.5 Configure conditional formatting

7.6 Apply slicing and filtering

7.7 Configure the report page

7.8 Use the Analyze in Excel feature

7.9 Choose when to use a paginated report

Lesson 8: Enhance reports for usability and storytelling

Learning objectives

8.1 Configure bookmarks

8.2 Create custom tooltips

8.3 Edit and configure interactions between visuals

8.4 Configure navigation for a report

8.5 Apply sorting

8.6 Configure sync slicers

8.7 Group and layer visuals by using the Selection pane

8.8 Drill down into data using interactive visuals

8.9 Configure export of report content, and perform an export

8.10 Design reports for mobile devices

Lesson 9: Identify patterns and trends

Learning objectives

9.1 Use the Analyze feature in Power BI

9.2 Use grouping, binning, and clustering

9.3 Incorporate the Q&A feature in a report

9.4 Use AI visuals

9.5 Use reference lines, error bars, and forecasting

9.6 Detect outliers and anomalies

9.7 Create and share scorecards and metrics

Module 4: Deploy and Maintain Assets

Lesson 10: Create and manage workspaces and items

Learning objectives

10.1 Create and configure a workspace

10.2 Assign workspace roles

10.3 Configure and update a workspace app

10.4 Publish, import, or update items in a workspace

10.5 Create dashboards

10.6 Choose a distribution method

10.7 Apply sensitivity labels to workspace content

10.8 Configure subscriptions and data alerts

10.9 Promote or certify Power BI content

10.10 Manage global options for files

Lesson 11: Manage semantic models

Learning objectives

11.1 Identify when a gateway is required

11.2 Configure a semantic model scheduled refresh

11.3 Configure row-level security group membership

11.4 Provide access to semantic models



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