Analyzing Data with Power BI (MS20778)
704.16 KM

Started on September 28, 2020 3 dana / 21 sat

Opis

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Termini

28.09.2020 704.16 KM
16.11.2020 704.16 KM

Poželjno predznanje

  • Excellent knowledge of relational databases and reporting.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Microsoft Office applications – particularly Excel.

Plan obuke

Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations for self-service BI
  • Microsoft tools for self-service BI

Module 2: Introducing Power BI
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

  • Power BI
  • The Power BI service

Module 3: Power BI
At the end of this module students will be able to explain the rationale and advantages of using Power BI.

  • Using Excel as a data source for Power BI
  • The Power BI data model
  • Using databases as a data source for Power BI
  • The Power BI service

Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

  • Power BI desktop queries
  • Shaping data
  • Combining data

Module 5: Modeling data
This module describes how to shape and enhance data.

  • Relationships
  • DAX queries
  • Calculations and measures

Module 6: Interactive Data Visualizations
This module describes how to create and manage interactive data visualizations.

  • Creating Power BI reports
  • Managing a Power BI solution

Module 7: Direct Connectivity
This module describes various connectivity options using Power BI.

  • Cloud data
  • Connecting to analysis services

Module 8: The Developer API
This module describes the developer API within Power BI.

  • The developer API
  • Custom visuals

Module 9: Power BI mobile app
This module describes the Power BI mobile app.

  • Power BI mobile apps
  • Using the Power BI mobile app
  • Power BI embedded
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