Power BI Advanced Visualisation Techniques


Course Info

Code PI1-111

Duration 5 Days

Format In-House On-Demand

Summary

Within any business, data is massively important. But getting the right data and visualising your plan of action from what it tells you is easier said than done. Out there, a lot of business-related tools are overly complicated; however, Power BI has been noted as one of the most flexible and customisable platforms for data display, helping you to picture the way forward.

Microsoft Power BI is a business intelligence platform made for the purpose of advanced visualisation. It aids businesses by providing a tool for analytics visualisation. It is well known for being helpful for non-tech-savvy individuals to make data look and feel easy and dependable. It is a platform often used by businesses when displaying information to partners and stakeholders to secure funding. Power Bi is the ideal tool to envision your future, back up your strategic action plans, and make ration decisions.

In order to fully utilise Power BI and its benefits, you’ll need to understand how to connect it to your data sources, discover which data is most valuable to you and create an easy, visual format to manipulate the data and show your statistics in full.


  • To understand the most important visuals in Power BI.
  • To create effective visuals for the right target audience.  
  • To use simpler methods to gain a deeper insight into Power BI.
  • To increase your knowledge of dashboards and learn how to make them more effective.
  • To ensure your reports are up to date and available online with any stakeholders.
  • To develop action plans based on Power BI visuals. 
  • To understand when statistics point to solutions. 
  • To change your Power BI data to reflect your current department. 
  • To add and remove information where necessary to make the most strategic and productive decisions. 
  • To use Power BI as evidence to back up your performance and future requirements to aid development.

This course is designed for anyone who owns their own business or manages operations and would like a clearer and more straightforward way to view and present their statistics. It would be most beneficial for:

  • Business Analysts
  • Market Researchers
  • Statisticians
  • Database Administrators
  • Economists
  • Actuaries
  • Software Engineers
  • Data Scientists
  • Business Owners
  • Operation Managers

This course uses a variety of adult learning styles to aid comprehension and understanding. Participants will review presentations based on what ‘good’ looks like on Power BI. They will take practical learning sessions regarding Power BI linked and work in group discussions to determine the best use of data within their own organisations.

Course leaders with Power BI experience will discuss positive and negative real-world case studies to unlock a deeper understanding of the subject.


Course Content & Outline

Section 1: Welcome To Power BI
  • Why are we using visualising?
  • Navigating the desktop interface and downloading for Power BI.
  • Importing my data to Power BI.
  • Understanding how to use the Power Query user interface.
  • Learning how to transform data with Power Query.
  • Tips to successfully visualise statistics.

 

Section 2: Data Basics
  • What you need to know about data wrangling.
  • Power Query and ‘mash up’(M) language.
  • Data models, dimensions data, and facts.
  • Modern visualisation in Power BI examples.

 

Section 3: Formatting Charts & Visuals
  • How to properly format Power BI charts.
  • Adding a new chart to our Canvass.
  • Sorting our visuals.
  • Filtering a page and using slicers.
  • Learning to control visual interactions on Canvass.

 

Section 4: Data Analysis Expressions (DAX)
  • Introducing you to DAX.
  • Expressing the significance of the functions of aggregation.
  • Using Intelligent time functions to create running sums.
  • What are the functions of parent-child hierarchies?
  • Other functions of Power BI.

 

Section 5: Measures In Power BI
  • Measuring in Power BI.
  • Prerequisites for working on measures.
  • Using measures with reports.
  • Measuring with slicer in Power BI.
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