How to create a Data Analysis Project in SQL | Part 2, Exploratory Data Analysis

[@rahimhussain8727]

great video, thanks

[@newenglandnomad9405]

This is an excellent video. Having good questions, and your critical thinking comments were very helpful. My original mental hang up was why if people are using a website login, which verifies with the database, was there a need for a data analyst.I now better understand it's for internal use questions. I know that sounds simplistic but test datasets look horrible and aren't insightful. This data set looks real world useful. Thanks for our real world insights. I like your short videos too. I'm at the point of making projects that used to look terrible, to ones I hope are interview worthy. Thanks for your efforts and education.

[@taha5754]

Hi @rohan thank you for the video was waiting for it, but a bit disappointed the video seems rushed. Would like a more in-depth EDA, and advise on what is the industry practice when data seems misleading (e.g, avg student deposit) or insufficient (e.g. contact channels types) that data analyst adopts in such scenarios. This dataset taken from Kaggle is obvs limiting and wouldn't showcase skillset of dealing with industry-level datasets to an employer.

[@rohanadus]

Thanks for the feedback! I'll work on a more in depth EDA before releasing part 3. Regarding industry practice you'd want to check in with the Data Engineering teams, if it's a problem with the ETL or data collection. You would pause the analysis unless you have another "source of truth" table you can refer to. More than happy to expand on this in a video.

[@taha5754]

@@rohanadus Thanks for addressing, would be looking forward to it in another video.

[@billedwards6492]

Part 3!!!!!