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PowerBI Zero to Hero

Description

Howdy & Welcome to this Microsoft Energy BI course. For those who’re making an attempt to shortly grasp essentially the most appropriate software for connecting, reworking, visualising, and analysing your Knowledge, you might be in the best place. We’ll take you from zero to hero, by means of our sensible studying strategy, and can shortly get you up working & constructing analytical options on your organisation.

My identify is Abdelkarim M. MAHMOUD, and I’m a Energy BI licensed Guide. I’ve spent the final years empowering completely different kind of organizations by serving to them achieve efficiency and competitivity by means of their Knowledge. I had the possibility and the pleasure to practice dozens of groups from easy Energy BI customers to Chief Knowledge Officers. I’m right here at present to put all my experience at your disposal in a easy and sensible manner.

This in-depth coaching strikes the proper steadiness between concept and apply, a number of PowerBI use instances are lined to permit you to get essentially the most worth out of your knowledge. Right here’s what we’re gonna dive into :

Introduction – What’s Energy BI ?

  • Extra causes to use Energy BI ESPECIALLY if you happen to use excel
  • Assets & Course Construction
  • Fast tour & Interface overview

Chapter 1 – Extract, Load, and Rework Knowledge in Energy Question

  • Energy Question, Connecting to a Database and Knowledge Varieties
  • Filtering
  • Eradicating & Ordering Columns
  • Conditional Columns
  • Connecting to a folder as a Knowledge Supply
  • Combining Knowledge
  • Coping with much less structured knowledge
  • Fixing Errors

Chapter 2 – Knowledge Modeling ?

  • Tables and Relationships
  • BEST PRACTICE : Dimensional Modeling & Star Schemas
  • BEST PRACTICE : Optimising The mannequin for Growth Time

Chapter 3 – DAX for Knowledge Evaluation Expressions

  • DAX, the “POWER” in POWER BI
  • Utilizing Measures to create Calculations and KPIs
  • Evaluating this yr’s Worth to final yr’s worth
  • Yr over Yr Varience, and Waterfall Charts
  • Yr to Date with DAX

Chapter 4 – Knowledge Vizualisation

  • Why Knowledge Visualisation Actually Issues
  • Pie Chart and Treemap
  • Hierarchies
  • Filtering and TopN
  • Twin-Axis (Combo) Chart
  • Advances Visible Analytics Pane – Tendencies, Targets, Forecasts and extra
  • Synthetic Intelligence: Decomposition Tree, Q&A and Key Influencers
  • Slicers
  • MAPS and Dynamic Coloring !
  • Fancy Tables

Chapter 5 – Energy BI Service

  • Sharing and Collaboration in Energy BI
  • How to Publish a report to the Energy BI service
  • Deep Dive into the Energy BI service

Who this course is for:

  • Excel customers wishing to swap to Energy BI or interested in a extra highly effective software
  • Enterprise and knowledge analysts
  • CXO
  • Younger managers, future managers and MBA college students
  • individuals trying to begin or to swap to an information profession

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