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via Udemy |
Go to Course: https://www.udemy.com/course/microsoft-pl-300-exam-practice-questions/
Certainly! Here's an engaging and comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Power BI Data Preparation, Modeling, and Visualization Mastery** If you're looking to develop a robust understanding of Power BI—covering everything from data preparation to advanced modeling and visualization—the *Updated October 2023* Power BI course on Coursera is an excellent choice. **What You Will Learn:** This course meticulously covers the essential skills needed for the Power BI certification exam, making it ideal for data analysts, BI professionals, or anyone interested in mastering data visualization and reporting. The curriculum is comprehensive, divided into three core areas: 1. **Preparing the Data (25-30%)** - Connect to various data sources and change connection settings - Select and create datasets, choose between import or DirectQuery modes - Transform and load data, categorize columns, and clean data - Design star schemas, merge and append queries, and establish relationships - Resolve data quality issues and handle import errors effectively 2. **Modeling the Data (25-30%)** - Build efficient data models, define relationships and cardinality - Implement role-playing dimensions and date tables - Create DAX measures, optimize model performance, and troubleshoot - Apply row-level security and advanced calculations - Improve performance with best practices in data types and summarization 3. **Visualizing and Analyzing Data (25-30%)** - Develop compelling reports with a variety of visuals - Customize visuals, themes, and interactions - Use advanced features like bookmarks, tooltips, and navigation - Incorporate AI visuals, detect patterns, and analyze data interactively - Share insights through scorecards, metrics, and deployment strategies 4. **Deploying and Maintaining Assets (15-20%)** - Manage workspaces, publish and update reports - Create dashboards and set up distribution methods - Apply security measures, subscriptions, and alerts - Configure scheduled refreshes, dataset management, and row-level security **Why I Recommend This Course:** - **Comprehensive Content:** From data acquisition to deployment, the course thoroughly prepares you for real-world scenarios and official certification exams. - **Up-to-Date Material:** The October 2023 update ensures you're learning the latest features and best practices. - **Hands-On Approach:** The course emphasizes practical skills, enabling you to build and optimize Power BI reports confidently. - **Flexible Learning:** Self-paced modules allow you to learn at your convenience, making it accessible regardless of your schedule. **Who Should Enroll:** - Aspiring Power BI professionals seeking certification - Data analysts wanting to deepen their BI skills - Business users aiming to create impactful reports - Anyone interested in learning Power BI for data-driven decision making In conclusion, this course is a valuable investment for mastering Power BI and excelling in data analysis and reporting. I highly recommend it for its comprehensive curriculum, practical nature, and relevance to current industry standards. --- Please feel free to reach out if you'd like further assistance or personalized guidance on this course. Happy learning! Thanks, Neil
*Updated Oct 2023*The course includes the below concepts for the exam:Prepare the data (25-30%)Get data from data sourcesIdentify and connect to a data sourceChange data source settings, including credentials, privacy levels, and data source locationsSelect a shared dataset, or create a local datasetChoose between DirectQuery, Import, and Dual modeChange the value in a parameterTransform and load the dataSelect appropriate column data typesCreate and transform columnsTransform a queryDesign a star schema that contains facts and dimensionsIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queriesClean the dataEvaluate data, including data statistics and column propertiesResolve inconsistencies, unexpected or null values, and data quality issuesResolve data import errorsModel the data (25-30%)Design and implement a data modelConfigure table and column propertiesImplement role-playing dimensionsDefine a relationship's cardinality and cross-filter directionCreate a common date tableImplement row-level security rolesCreate model calculations by using DAXCreate single aggregation measuresUse CALCULATE to manipulate filtersImplement time intelligence measuresIdentify implicit measures and replace with explicit measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tablesOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance AnalyzerImprove performance by choosing optimal data typesImprove performance by summarizing dataVisualize and analyze the data (25-30%)Create reportsIdentify and implement appropriate visualizationsFormat and configure visualizationsUse a custom visualApply and customize a themeConfigure conditional formattingApply slicing and filteringConfigure the report pageUse the Analyze in Excel featureChoose when to use a paginated reportEnhance reports for usability and storytellingConfigure bookmarksCreate custom tooltipsEdit and configure interactions between visualsConfigure navigation for a reportApply sortingConfigure sync slicersGroup and layer visuals by using the Selection paneDrill down into data using interactive visualsConfigure export of report content, and perform an exportDesign reports for mobile devicesIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringIncorporate the Q & A feature in a reportUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesCreate and share scorecards and metricsDeploy and maintain assets (15-20%)Create and manage workspaces and assetsCreate and configure a workspaceAssign workspace rolesConfigure and update a workspace appPublish, import, or update assets in a workspaceCreate dashboardsChoose a distribution methodApply sensitivity labels to workspace contentConfigure subscriptions and data alertsPromote or certify Power BI contentManage global options for filesManage datasetsIdentify when a gateway is requiredConfigure a dataset scheduled refreshConfigure row-level security group membershipProvide access to datasetsI hope you find this course useful for your studies,Please message me if I can assist in any way,Happy learning!Thanks,Neil