Business Reporting With MS Power Bi

Introduction

Microsoft Power BI is used to find insights within an organization's data. Power BI can help connect disparate data sets, transform and clean the data into a data model and create charts or graphs to provide visuals of the data. All of this can be shared with other Power BI users within the organization.

Goal of Course

  • Improved Data Analysis Skills: Power Bi Is A Powerful Data Visualization And Analysis Tool. Taking A Course Can Help You Become Proficient In Using The Software And Improve Your Data Analysis Skills.
  • Better Decision-Making: With The Ability To Quickly And Easily Create Interactive Dashboards, Reports, And Visualizations, You Can Gain Insights Into Your Data That You Might Not Have Otherwise Seen. This Can Help You Make Better-Informed Decisions.
  • Increased Job Opportunities: Many Companies Use Power Bi For Data Analysis And Visualization, So Having Proficiency In This Tool Can Increase Your Job Prospects And Earning Potential.
  • Time-Saving: Power Bi Allows You To Automate Many Data-Related Tasks, Saving You Time And Increasing Efficiency.
  • Collaboration: Power Bi Allows For Real-Time Collaboration On Data Analysis And Visualization Projects, Making It Easier To Work With Colleagues And Team Members.

Key Modules

  • Power BI Desktop and Data sources
  • Power BI Desktop to create Data Models
  • Power BI Desktop for Visualisation Workshop
  • Power BI Desktop and DAX
  • Power BI Desktop and Queries
  • Power BI Service and Excel PowerPivot
  • Sharing Data with Power BI

Introducing the Power BI Ecosystem


  • Building the Database Schema
  • Desktop, Service and Mobile
  • Installing and setting up Power BI
  • Setting up a MS Power BI account
  • Visualisation and Fields Panes
  • Create visualisations with Report View
  • Sort and format data with Data View

Power BI Desktop and Data sources


  • How to import from various data sources
  • Connectivity with MS Office apps - Excel, Access
  • Using other data sources such as databases and CSV Files

Power BI Desktop to create Data Models


  • Getting to grips with the Data Model
  • Using the Relationship View
  • Many-to-one relationships
  • Filter propagation

Power BI Desktop for Visualisation Workshop


  • Adding visualisations to Report Canvas
  • Managing visualisation relationships
  • Drill Down and Drill through techniques
  • Use of Hierarchies

Power BI Desktop and DAX


  • Custom Calculation And The Data Model
  • Calculated Columns And Measures
  • Evaluation Context
  • Countrows And Distinctcount Functions
  • Power Bi Desktop And Advanced Dax Functions
  • Sumx And Calculate
  • Time Intelligence Functions

Power BI Desktop and Queries


  • Data Import And The Role Of Queries
  • Etl: Extract, Transform And Load
  • Data Transformations
  • Using Applied Steps
  • Query Parameters
  • Power Bi Service And Excel Powerpivot
  • Creating A Powerpivot Data Model
  • Import data from PowerPivot to Power BI Service
  • Using PowerPivot data to create visualisations in Power BI Service

Sharing Data with Power BI


  • Share Interactive Power BI Dashboards



Note :you can speak to our team for detailed content and available batch timings.