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Effective Digital Skills for Data Analytics – Power BI

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To provide attendees with the skills required to very effectively analyse data and create visualisations using Microsoft Power BI Desktop & Microsoft Power BI Server. Course Duration 2 days. Trainees must attend both days.

2 weeks, 09:00 AM - 05:00 PM

Online

Session information

Sessions

Session 1
09:00 - 17:00
1 day
    session 2
    09:00 - 17:00
    1 day
      • €116.00 incl. 0% - tax exempt

      Description

      Day 1

      Who should attend?

      New or existing users of Microsoft Power BI, who want to analyse data effectively using Microsoft Power BI Desktop.

      Assumed Knowledge:

      A working knowledge of Microsoft Excel is assumed, gained from the workplace or by prior attendance on an IT course.

      Objectives:

      To provide attendees with the skills required to very effectively analyse data and create visualisations using Microsoft Power BI Desktop.

      Course Content

      • Creating a visualisation and setting up Slicers to filter Data.
      • The desktop Interface.
      • Getting data from various sources.
      • Interaction between Visualisations.
      • Aggregation.
      • Transforming and correcting data.
      • Creating custom columns and Appending data.
      • Creating visualization by asking questions.
      • Linking tables.
      • Relationship types.
      • Getting data from the web.
      • Visualisations.
      • Hierarchies.
      • Sort and Filter.

       

      Day 2

      Who should attend?

      Existing users of Microsoft Power BI Desktop, who want to analyse data online effectively using Microsoft Power BI Server and develop formulas.

      Assumed Knowledge:

      A working knowledge of Power BI Desktop is assumed, gained from the workplace or by prior attendance on an IT course.

      Objectives:

      To provide attendees with the skills required to very effectively analyse data and create visualisations using Microsoft Power BI Server.

      Course Content

      • Creating a visualisation and setting up Slicers to filter Data.
      • The desktop Interface.
      • Getting data from various sources.
      • Interaction between Visualisations.
      • Aggregation.
      • Transforming and correcting data.
      • Creating custom columns and Appending data.
      • Creating visualization by asking questions.
      • Linking tables.
      • Relationship types.
      • Getting data from the web.
      • Visualisations.
      • Hierarchies.
      • Sort and Filter.