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AIMS grid simple explanation: https://www.youtube.com/watch?v6118I9HViuQ
Once the AIMS grid is defined, the next step is data discovery. In this step, the data analyst team approaches the IT team within an organization that owns a software system that tracks sales data. These records are stored in the MySQL database. Power BI can be connected to this database to retrieve the necessary information required for data analysis. I also discuss ETL, OLTP, OLAP and data warehouse concepts. Often we need a separate data warehouse or OLAP system to run our data analysis queries, but in our project we will use the mysql database directly.
Previous video: https://www.youtube.com/watch?vhhZ62IlTxYs&listPLeo1K3hjS3utcb9nKtanhcn8jd2E0Hp9b
Next video: https://www.youtube.com/watch?vJOrhcV3_NAk&listPLeo1K3hjS3utcb9nKtanhcn8jd2E0Hp9b&index3
How to learn data analyst skills for free: https://youtu.be/x6tnVOn4st4
Machine Learning Tutorial Playlist: https://www.youtube.com/watch?vgmvvaobm7eQ&listPLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
Full playlist for this project: https://www.youtube.com/playlist?listPLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
Special thanks to my friend Hemanand Vadivel (https://www.linkedin.com/in/hemanand-vadivel-0b34aab5/), an experienced data analyst manager working for a company in the UK. He has made an important contribution to this project.
The basics of DAX and data modeling are the two fundamental technical skills needed to write Power BI reports. There are the free courses I recommend from SQLBI.com
DAX: https://www.sqlbi.com/p/introducing-dax-video-course/
Data modeling: https://www.sqlbi.com/p/introduction-to-data-modeling-for-power-bi-video-course/
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