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Material used in this series https://drive.google.com/drive/folder... This playlist contains videos that cover the Microsoft Power BI PL-300 exam preparation syllabus. The exam is divided into 4 learning paths. Each path has multiple sections and then within each section there are topics that are covered in multiple choice questions on the exam. The 4 learning paths are Prepare the data (25–30%) Model the data (25–30%) Visualize and analyze the data (25–30%) Deploy and maintain items (15–20%) The structured breakdown of each learning path is 1. Prepare the data (25–30%) Get data from data sources Identify and connect to a data source Change data source settings, including credentials, privacy levels, and data source locations Select a shared semantic model, or create a local data model Choose between DirectQuery, Import, and Dual mode Change the value in a parameter Clean the data Evaluate data, including data statistics and column properties Resolve inconsistencies, unexpected or null values, and data quality issues Resolve data import errors Transform and load the data Select appropriate column data types Create and transform columns Transform a query Design a star schema that contains facts and dimensions Identify when to use reference or duplicate queries and the resulting impact Merge and append queries Identify and create appropriate keys for relationships Configure data loading for queries 2. Model the data (25–30%) Design and implement a data model Configure table and column properties Implement role-playing dimensions Define a relationship's cardinality and cross-filter direction Create a common date table Implement row-level security roles Create model calculations by using DAX Create single aggregation measures Use CALCULATE to manipulate filters Implement time intelligence measures Identify implicit measures and replace with explicit measures Use basic statistical functions Create semi-additive measures Create a measure by using quick measures Create calculated tables Optimize model performance Improve performance by identifying and removing unnecessary rows and columns Identify poorly performing measures, relationships, and visuals by using Performance Analyzer Improve performance by choosing optimal data types Improve performance by summarizing data 3. Visualize and analyze the data (25–30%) Create reports Identify and implement appropriate visualizations Format and configure visualizations Use a custom visual Apply and customize a theme Configure conditional formatting Apply slicing and filtering Configure the report page Use the Analyze in Excel feature Choose when to use a paginated report Enhance reports for usability and storytelling Configure bookmarks Create custom tooltips Edit and configure interactions between visuals Configure navigation for a report Apply sorting Configure sync slicers Group and layer visuals by using the Selection pane Drill down into data using interactive visuals Configure export of report content, and perform an export Design reports for mobile devices Enable personalized visuals in a report Design and configure Power BI reports for accessibility Identify patterns and trends Use the Analyze feature in Power BI Use grouping, binning, and clustering Incorporate the Q&A feature in a report Use AI visuals Use reference lines, error bars, and forecasting Detect outliers and anomalies Create and share scorecards and metrics 4. Deploy and maintain items (15–20%) Create and manage workspaces and items Create and configure a workspace Assign workspace roles Configure and update a workspace app Publish, import, or update items in a workspace Create dashboards Choose a distribution method Apply sensitivity labels to workspace content Configure subscriptions and data alerts Promote or certify Power BI content Manage global options for files Manage semantic models Identify when a gateway is required Configure a semantic model scheduled refresh Configure row-level security group membership Provide access to semantic models Configure automatic page refresh --------------------------------------------------------------------------------------------------------------------- Hi, I am Abu Bakar Alvi and this is my YouTube channel. I create content about data and related technologies. I am a Microsoft Certified Trainer, Azure Enterprise Data Analyst Associate, Azure Data Engineer Associate, Data Analyst Associate for Power BI, and Tableau Desktop Specialist. --------------------------------- 😍 JOIN 😍 ---------------------------------- YouTube: / thedataguyisb LinkedIn: / abubakar-alvi WhatsApp channel: https://whatsapp.com/channel/0029Va7Y...