<transcript><audio_11>a data warehouse and um we are laying the foundation basically for more analytics capabilities and this is um where like we do more etl extract transform and loading and there's a lot of data cleaning involved</transcript><transcript><audio_12>as well data understanding like trying to make sense of what are the valid data and what data do we need to you know clean how how do we clean them yeah and um outside of work i run a data science blog called data double confirm so if</transcript><transcript><audio_13>there's a little bit of time towards the end i'll share about my blog and um yeah basically i actually uh have been working with data like since my undergrad days and back then in school like i feel like</transcript><transcript><audio_14>a lot of times um the data sets that we work with are clean and also partly because like the focus of the curriculum is more on um statistical analysis and also on modeling so um in a way like um the the focus on</transcript><transcript><audio_15>data cleaning and data understanding is um slightly less and the i feel like most of the time i mean um my experience on how we should clean data is uh yeah related back to my work</transcript> a data warehouse and um we are laying the foundation basically for more analytics capabilities and this is um where like we do more etl extract transform and loading and there's a lot of data cleaning involved as well data understanding like trying to make sense of what are the valid data and what data do we need to you know clean how how do we clean them yeah and um outside of work i run a data science blog called data double confirm so if there's a little bit of time towards the end i'll share about my blog and um yeah basically i actually uh have been working with data like since my undergrad days and back then in school like i feel like a lot of times um the data sets that we work with are clean and also partly because like the focus of the curriculum is more on um statistical analysis and also on modeling so um in a way like um the the focus on data cleaning and data understanding is um slightly less and the i feel like most of the time i mean um my experience on how we should clean data is uh yeah related back to my work
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