Course Outline

Power BI Desktop & Introducing Key terms

 

  • Download and Install BI Desktop
  • Connect to Oracle Database Server
  • Understanding Power BI Screen → Report | Data | Relationship
  • Add, Rename, Duplicate, Hide and Delete Pages
  • Get Data from Excel Files
  • Get Data from Text Files
  • Load Data from Multiple Data Sources
  • Remove Unwanted Columns from Tables

Power BI Charts

  • Column Chart
  • Bar Chart
  • Card
  • Clustered Column Chart
  • Introducing natural-language queries
  • Importing custom visuals

Power BI Filters

 

  • Slicer
  • Basic Filters
  • Advanced Filters
  • Top N Filters
  • Filters on Measures
  • Page Level Filters
  • Report Level Filters
  • Drill through Filters

Working with Power BI Dashboards & Best Practices

  • Dashboard best practices
  • Understanding Relationship
  • Dashboard Actions
  • Add Reports to a Dashboard
  • Add Title to Dashboard
  • How to Add Image to Dashboard
  • Add Video to Dashboard
  • Add Web Content to Dashboard
  • Dashboard Settings
  • Delete a Dashboard
  • Pin Report to a Dashboard

Sharing Power BI Work

 

  • Inviting a user to see a dashboard (Share Dashboard)
    • Internal
    • External (Inviting users outside your organization)
  • Share a Report
  • Sharing Workspace
  • Understanding data refresh
    • Configuring automatic refresh

Power BI Administration (behind the scenes)

 

  • Understanding the Power BI admin portal
    • The admin portal presents five features:
      • Usage metrics
      • Users
      • Audit logs
      • Tenant settings
      • Premium settings
  • Assign users to the admin role in office 365 (Office 365 admin center)
  • Three actors in play for administration

Power BI Security Access Control

 

  • Giving access to Apps and Contents Packs
  • Row Level Security
  • Managing Users and Licenses
    • Enabling / disabling users
    • Audit Power BI Activity

 

Requirements

There are no specific requirements needed to attend this course.

  14 Hours
 

Testimonials

Related Courses

Data Analysis with SQL, Python and Spotfire

  14 hours

Advanced Data Analysis with TIBCO Spotfire

  14 hours

Introduction to Spotfire

  14 hours

AI-Driven Data Analysis with TIBCO Spotfire X

  14 hours

TIBCO for Developers

  21 hours

TIBCO Statistica

  14 hours

Monitoring with Grafana

  14 hours

Grafana and Graphite

  14 hours

Advanced Grafana

  14 hours

Grafana and GLPI Administration

  21 hours

ELK: Elasticsearch, Logstash and Kibana for Administrators

  14 hours

Kibana: Essentials

  14 hours

Data Analysis with Redash

  14 hours

Business Intelligence and Data Analysis with Metabase

  14 hours

QlikView for Developers

  14 hours