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#230: First, We Must Discover. Then, We Can Explore. With Viyaleta Apgar

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Manage episode 380035256 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Seemingly straightforward data sets are seldom as simple as they initially appear. And, many an analysis has been tripped up by erroneous assumptions about either the data itself or about the business context in which that data exists. On this episode, Michael, Val, and Tim sat down with Viyaleta Apgar, Senior Manager of Analytics Solutions at Indeed.com, to discuss some antidotes to this very problem! Her structured approach to data discovery asks the analyst to outline what they know and don’t know, as well as how any biases or assumptions might impact their results before they dive into Exploratory Data Analysis (EDA). To Viyaleta, this isn’t just theory! She also shared stories of how she’s put this into practice with her business partners (NOT her stakeholders!) at Indeed.com. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

263 episodes

Artwork
iconShare
 
Manage episode 380035256 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Seemingly straightforward data sets are seldom as simple as they initially appear. And, many an analysis has been tripped up by erroneous assumptions about either the data itself or about the business context in which that data exists. On this episode, Michael, Val, and Tim sat down with Viyaleta Apgar, Senior Manager of Analytics Solutions at Indeed.com, to discuss some antidotes to this very problem! Her structured approach to data discovery asks the analyst to outline what they know and don’t know, as well as how any biases or assumptions might impact their results before they dive into Exploratory Data Analysis (EDA). To Viyaleta, this isn’t just theory! She also shared stories of how she’s put this into practice with her business partners (NOT her stakeholders!) at Indeed.com. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

263 episodes

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