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Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
Entire course available on Udemy.com
https://goo.gl/zfudme
use coupon code: POWERBI
Welcome to our first lecture where I’ll introduce the Power BI Query Editor
The quality of your Power BI dashboards and visualizations depends on the quality of your data
That’s why it’s so important to learn how to take control of the data cleansing process in Power BI
But very often it’s a struggle to get data into a format that’s suitable for the datshboard and visualization tools
. . .Many times all we have is incomplete data. But you can’t get from raw data here . . .
Missing information
Incorrect spellings
Unneeded information
Other quality issues . . .
. . .. . . to complete data sets here . . .
Complete data set
. . .. . . to meaningful visualizations here without knowing a few tricks of the trade
. . .My role is to be your teacher so you learn to control your data so it doesn’t control you
There are four steps to creating effective Power BI dashboards
Get the Data
Transform the Data
Build Visualizations and
Dashboards
Publish to Power BI Cloud
Of these ‘Transform the Data’ may be most important, but least understood
Get the Data
Transform the Data
Build Visualizations and
Dashboards
Publish to Power BI Cloud
Without clean, transformed data, your dashboards are useless
Get the Data
Transform the Data
Build Visualizations and
Dashboards
Publish to Power BI Cloud
Knowing some basic data transformation techniques can save you a lot of time and energy
Get the Data
Transform the Data
Build Visualizations and
Dashboards
Publish to Power BI Cloud
It all happens in the Power BI ribbon section called ‘External data’
This is where you connect to, clean and model the data that feed your Power BI visualizations, which sit in your dashboards
We’ll start by using a small data set I call ‘DogCatSquirrel’ . . . simple enough to explain basic data cleansing concepts . . .
And complex enough for you to learn many useful data transformation techniques
We’ll then move on to more complex data sets
And learn solutions to common data issues
Missing information
Incorrect spellings
Unneeded information
Much more . . .
The goal - turn any data into something useful that feeds your visualizations and dashboards
In the next lecture we’ll see how the Query Editor fits within Microsoft’s Power BI suite of products
In this lecture we introduced the Power BI Query Editor and it’s importance to creating great visualizations
Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
Entire course available on Udemy.com
https://goo.gl/zfudme
use coupon code: POWERBI
Power BI Query Editor
within Power BI
In this lecture we’ll see how Power BI Query Editor fits within Microsoft’s Power BI suite of self-service BI applications
Power BI
Desktop
Power BI
Cloud
In particular, I’ll explain how Query Editor sits in Power BI Desktop, but not Power BI Cloud
You’re aware of Power BI software. But did you know that Power BI is really many different products with different purposes?
Publish
Power BI
To use Power BI Query Editor, you must first download and install Power BI Desktop to your computer
Power BI
Desktop
Power BI
Cloud
Publish
Power BI
That’s because Query Editor is only available within Power BI Desktop, not Power BI Cloud
Power BI
Desktop
Power BI
Cloud
Publish
Power BI
Query Editor
Query Editor lets you clean your data to create visualizations and dashboards within Power BI Desktop . . .
Power BI
Desktop
Power BI
Cloud
Publish
Power BI
Query Editor
Power BI
Cloud
Publish
Or you can publish to the web where your visualizations and dashboards can be viewed in Power BI Cloud or in mobile apps
https://goo.gl/OmLfcs
Power BI
Desktop
Power BI
Query Editor
Power BI
Cloud
Publish
Once again, Power BI Cloud does not include the Query Editor. Your data must be clean before it gets to the cloud.
Power BI
Desktop
Power BI
Query Editor Query Editor
Going forward, I will shorten the name to ‘Power BI Query Editor’ or simply ‘Query Editor’
Power BI Desktop
Query Editor
= Power BI Query Editor
= Query Editor
We also saw how the Query Editor is only available in Power BI Desktop, not Power BI Cloud
In this lecture we learned how Power BI Query Editor fits within the Microsoft’s Power BI suite of products applications
Join me for more Query Editor insights on Udemy.com at https://goo.gl/zfudme
Entire course available on Udemy.com
https://goo.gl/zfudme
use coupon code: POWERBI
Entire course available on Udemy.com
https://goo.gl/zfudme
use coupon code: POWERBI

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Power BI Secrets

  • 1. Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
  • 2. Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’
  • 3. Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’ Entire course available on Udemy.com https://goo.gl/zfudme use coupon code: POWERBI
  • 4. Welcome to our first lecture where I’ll introduce the Power BI Query Editor The quality of your Power BI dashboards and visualizations depends on the quality of your data That’s why it’s so important to learn how to take control of the data cleansing process in Power BI But very often it’s a struggle to get data into a format that’s suitable for the datshboard and visualization tools
  • 5. . . .Many times all we have is incomplete data. But you can’t get from raw data here . . . Missing information Incorrect spellings Unneeded information Other quality issues . . .
  • 6. . . .. . . to complete data sets here . . . Complete data set
  • 7. . . .. . . to meaningful visualizations here without knowing a few tricks of the trade
  • 8. . . .My role is to be your teacher so you learn to control your data so it doesn’t control you
  • 9. There are four steps to creating effective Power BI dashboards Get the Data Transform the Data Build Visualizations and Dashboards Publish to Power BI Cloud
  • 10. Of these ‘Transform the Data’ may be most important, but least understood Get the Data Transform the Data Build Visualizations and Dashboards Publish to Power BI Cloud
  • 11. Without clean, transformed data, your dashboards are useless Get the Data Transform the Data Build Visualizations and Dashboards Publish to Power BI Cloud
  • 12. Knowing some basic data transformation techniques can save you a lot of time and energy Get the Data Transform the Data Build Visualizations and Dashboards Publish to Power BI Cloud
  • 13. It all happens in the Power BI ribbon section called ‘External data’
  • 14. This is where you connect to, clean and model the data that feed your Power BI visualizations, which sit in your dashboards
  • 15. We’ll start by using a small data set I call ‘DogCatSquirrel’ . . . simple enough to explain basic data cleansing concepts . . .
  • 16. And complex enough for you to learn many useful data transformation techniques
  • 17. We’ll then move on to more complex data sets
  • 18. And learn solutions to common data issues Missing information Incorrect spellings Unneeded information Much more . . .
  • 19. The goal - turn any data into something useful that feeds your visualizations and dashboards
  • 20. In the next lecture we’ll see how the Query Editor fits within Microsoft’s Power BI suite of products In this lecture we introduced the Power BI Query Editor and it’s importance to creating great visualizations
  • 21. Welcome to ‘Power BI Secrets: How to Control Your Data With Query Editor’ Entire course available on Udemy.com https://goo.gl/zfudme use coupon code: POWERBI
  • 22. Power BI Query Editor within Power BI
  • 23. In this lecture we’ll see how Power BI Query Editor fits within Microsoft’s Power BI suite of self-service BI applications Power BI Desktop Power BI Cloud In particular, I’ll explain how Query Editor sits in Power BI Desktop, but not Power BI Cloud You’re aware of Power BI software. But did you know that Power BI is really many different products with different purposes? Publish Power BI
  • 24. To use Power BI Query Editor, you must first download and install Power BI Desktop to your computer Power BI Desktop Power BI Cloud Publish Power BI
  • 25. That’s because Query Editor is only available within Power BI Desktop, not Power BI Cloud Power BI Desktop Power BI Cloud Publish Power BI Query Editor
  • 26. Query Editor lets you clean your data to create visualizations and dashboards within Power BI Desktop . . . Power BI Desktop Power BI Cloud Publish Power BI Query Editor
  • 27. Power BI Cloud Publish Or you can publish to the web where your visualizations and dashboards can be viewed in Power BI Cloud or in mobile apps https://goo.gl/OmLfcs Power BI Desktop Power BI Query Editor
  • 28. Power BI Cloud Publish Once again, Power BI Cloud does not include the Query Editor. Your data must be clean before it gets to the cloud. Power BI Desktop Power BI Query Editor Query Editor
  • 29. Going forward, I will shorten the name to ‘Power BI Query Editor’ or simply ‘Query Editor’ Power BI Desktop Query Editor = Power BI Query Editor = Query Editor
  • 30. We also saw how the Query Editor is only available in Power BI Desktop, not Power BI Cloud In this lecture we learned how Power BI Query Editor fits within the Microsoft’s Power BI suite of products applications Join me for more Query Editor insights on Udemy.com at https://goo.gl/zfudme
  • 31.
  • 32. Entire course available on Udemy.com https://goo.gl/zfudme use coupon code: POWERBI
  • 33.
  • 34. Entire course available on Udemy.com https://goo.gl/zfudme use coupon code: POWERBI