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via Udemy |
Go to Course: https://www.udemy.com/course/ms_pl_300/
The "Power BI Data Analysis and Visualization" course on Coursera offers an exceptionally comprehensive learning journey for anyone aiming to master Power BI from data preparation to securing insights. Designed to cater to beginners and intermediate users alike, this course provides a well-structured curriculum that integrates foundational concepts with advanced techniques, making it highly valuable for data analysts, business intelligence professionals, and decision-makers. **Course Overview and Skills Covered:** **Data Preparation (25-30%)** The course begins with extensive modules on preparing data for analysis. You will learn how to identify and connect to various data sources, including shared semantic models, and modify data source settings such as credentials and privacy levels. The course navigates through selecting between DirectQuery and Import modes, creating and transforming columns, handling semi-structured data, and resolving data quality issues like nulls or inconsistencies. Emphasis is placed on effective data transformation techniques, including merging, appending, and establishing relationships among tables, which are crucial for building reliable models. **Data Modeling (25-30%)** Building upon the prepared data, the course delves into designing robust data models. You will learn how to configure table properties, define relationships with correct cardinality and direction, and create time intelligence measures using DAX. Advanced topics include defining role-playing dimensions, creating calculated columns/tables, and optimizing model performance—equipping you with the skills to develop scalable and efficient data models that support complex analytics. **Data Visualization and Analysis (25-30%)** The visualization segment focuses on report creation, customization, and storytelling. You will master selecting appropriate visuals, applying themes, using conditional formatting, and creating interactive reports with slicers, bookmarks, and drill-throughs. The course emphasizes enhancing report usability through thoughtful configuration, including accessibility features, mobile optimization, and deploying AI visuals for advanced insights. Techniques for detecting patterns, outliers, and trends, as well as conducting what-if analyses, enable the development of insightful and engaging reports. **Power BI Management and Security (15-20%)** The final module covers crucial topics in managing and securing Power BI environments. You will learn how to create and manage workspaces, publish and share reports, configure data refresh schedules, and implement access controls through workspaces, roles, and row-level security. The course also addresses governance aspects such as securing assets, applying sensitivity labels, and configuring gateways, which are vital for enterprise deployment. **Review:** This course is highly detailed and practically oriented, with real-world scenarios that reinforce learning. The inclusion of hands-on exercises ensures that participants gain experience in connecting to data sources, building models, creating reports, and managing security—skills directly applicable in the workplace. The structured approach helps learners progressively develop their expertise, from data ingestion to securing insights. **Recommendations:** I highly recommend this course for anyone looking to build or enhance their Power BI skills. It is particularly suitable for professionals involved in data analysis, reporting, or business intelligence projects. The comprehensive coverage ensures that learners not only understand the technical aspects but also grasp best practices for designing effective reports and securing sensitive data. Whether you're starting your Power BI journey or seeking to deepen your expertise, this course provides a solid foundation and advanced knowledge to empower data-driven decision-making. Enroll today to transform your data skills and leverage Power BI to its full potential!
Skills at a glancePrepare the data (25-30%)Model the data (25-30%)Visualize and analyze the data (25-30%)Manage and secure Power BI (15-20%)Prepare the data (25-30%)Get or connect to dataIdentify and connect to data sources or a shared semantic modelChange data source settings, including credentials and privacy levelsChoose between DirectQuery and ImportCreate and modify parametersProfile and clean the dataEvaluate data, including data statistics and column propertiesResolve inconsistencies, unexpected or null values, and data quality issuesResolve data import errorsTransform and load the dataSelect appropriate column data typesCreate and transform columnsGroup and aggregate rowsPivot, unpivot, and transpose dataConvert semi-structured data to a tableCreate fact tables and dimension tablesIdentify when to use reference or duplicate queries and the resulting impactMerge and append queriesIdentify and create appropriate keys for relationshipsConfigure data loading for queriesModel 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 tableIdentify use cases for calculated columns and calculated tablesCreate model calculations by using DAXCreate single aggregation measuresUse the CALCULATE functionImplement time intelligence measuresUse basic statistical functionsCreate semi-additive measuresCreate a measure by using quick measuresCreate calculated tables or columnsCreate calculation groupsOptimize model performanceImprove performance by identifying and removing unnecessary rows and columnsIdentify poorly performing measures, relationships, and visuals by using Performance Analyzer and DAX query viewImprove performance by reducing granularityVisualize and analyze the data (25-30%)Create reportsSelect an appropriate visualFormat and configure visualsApply and customize a themeApply conditional formattingApply slicing and filteringConfigure the report pageChoose when to use a paginated reportCreate visual calculations by using DAXEnhance reports for usability and storytellingConfigure bookmarksCreate custom tooltipsEdit and configure interactions between visualsConfigure navigation for a reportApply sorting to visualsConfigure sync slicersGroup and layer visuals by using the Selection paneConfigure drill through navigationConfigure export settingsDesign reports for mobile devicesEnable personalized visuals in a reportDesign and configure Power BI reports for accessibilityConfigure automatic page refreshIdentify patterns and trendsUse the Analyze feature in Power BIUse grouping, binning, and clusteringUse AI visualsUse reference lines, error bars, and forecastingDetect outliers and anomaliesManage and secure Power BI (15-20%)Create and manage workspaces and assetsCreate and configure a workspaceConfigure and update a workspace appPublish, import, or update items in a workspaceCreate dashboardsChoose a distribution methodConfigure subscriptions and data alertsPromote or certify Power BI contentIdentify when a gateway is requiredConfigure a semantic model scheduled refreshSecure and govern Power BI itemsAssign workspace rolesConfigure item-level accessConfigure access to semantic modelsImplement row-level security rolesConfigure row-level security group membershipApply sensitivity labels