وب سایت تخصصی شرکت فرین
دسته بندی دوره ها

From Excel to Power BI

سرفصل های دوره

Planning and Implementing Self-Service BI with the Power BI Ecosystem


1 - Introduction
  • 1 - Course Introduction
  • 2 - Outline Planning and Implementing data analytics
  • 3 - Outline Demonstration of learning path for Excel users to become data analysts
  • 4 - Course Resources
  • 5 - Why do your business and business users need to develop data skills today
  • 6 - Is data an asset of your company
  • 7 - What data management process can we use
  • Files.zip

  • 2 - History of Business Intelligence
  • 8 - What is traditional business intelligence
  • 9 - Why have business intelligence projects been historically unsuccessful

  • 3 - What is Self Service Business Intelligence
  • 10 - Why has SelfService Business Intelligence emerged
  • 11 - What is SelfService Business Intelligence
  • 12 - What are the limitations of Excel when it comes to working with data
  • 13 - What are the data analysis tools that are available in Excel
  • 14 - What do you need to know about Power Query
  • 15 - What do you need to know about Power Pivot

  • 4 - Planning For SelfService Business Intelligence
  • 16 - How can you plan for SelfService BI
  • 17 - What should your data literacy plan include
  • 18 - What are some sample data strategies
  • 19 - Why is Agile the project methodology for SelfService BI
  • 20 - Why does Self Service BI need a new area of data governance

  • 5 - Implementing SelfService Business Intelligence
  • 3 - Implementing SelfService BI Quiz.html
  • 21 - How can you implement SelfService BI
  • 22 - Data Roles for SelfService BI
  • 23 - How can you begin developing your data creators
  • 24 - What is the Power Platform
  • 25 - What are the components and building blocks of Power BI
  • 26 - How does collaboration work in the Power BI Service
  • 27 - How can different levels of data literacy communicate
  • 28 - How can we adminster the Power BI ecosytem
  • 29 - What are the steps in a data initiative

  • 6 - Key Takeaways
  • 30 - What do you need to get right to succeed in implementing data analytics
  • 31 - What is the learning path for developing Your Data Creator Team

  • 7 - Learning Path Begin with Excel
  • 32 - Connectors Power Query Interface and Append Operation
  • 33 - Transformations in Power Query
  • 34 - Use Cases in Power Query
  • 35 - Data Modeling in Power Pivot

  • 8 - Learning Path Transition to Power BI Desktop
  • 36 - DAX Measures Aggregators Iterators CALCULATE Time Intelligence Ranking
  • 37 - Exploratory Analysis Anomaly and Forecasting
  • 38 - Exploratory Analysis AI Visualizations
  • 39 - Curating Visualizations Tooltips and Small Multiples
  • 40 - Curating Visualizations Navigation Bookmarks and Buttons and Synch Slicers
  • 41 - Curating Visualizations Hierarchies and Drill Throughs

  • 9 - Learning Path Collaborate with Power BI Service
  • 42 - Data Initiative Example
  • 43 - Workspaces
  • 44 - Report and Semantic Model
  • 45 - APPS and Dashboards
  • 46 - Dataflows
  • 47 - Feature Review and Conclusion
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    مدرس:
    شناسه: 39717
    حجم: 1492 مگابایت
    مدت زمان: 271 دقیقه
    تاریخ انتشار: ۲۲ مرداد ۱۴۰۳
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