Exam PL-300 Microsoft Power BI Data Analyst

Exam PL-300 Microsoft Power BI Data Analyst

          
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About the Book

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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Product Details
  • ISBN-13: 9780137916092
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson Education (US)
  • Language: English
  • ISBN-10: 0137916094
  • Publisher Date: 12 Sep 2022
  • Binding: Digital


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