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S03E04 - The language of data literacy - with Valerie Logan

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Manage episode 377204686 series 2423821
Content provided by Half Stack Data Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Half Stack Data Science 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://staging.podcastplayer.com/legal.

Continuing our series of conversations with data educators, in this episode we spoke to Valerie Logan.

Founding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. She believes that in today's digital society, data literacy is not just a work skill- it's a life skill. With advisory services, train-the-trainer bootcamps, an extensive resource library and community services at The Data Lodge, Valerie is certifying the world’s first Data Literacy Program Leads across commercial, nonprofit and public sectors.

In 2022, The Data Lodge was recognized by CDO Magazine as one of the "Top 25 Data Startups to Watch in 2022". Valerie has more than 28 years of experience, including two decades of global consulting across industries, and five years of applied experience in the telecommunications industry at both field and enterprise levels. She holds a B.S. in Math from SUNY College at Buffalo and an M.S. in Applied Math with a concentration in Operations Research from New Mexico State.

We talked to Valerie about how literacy in data is like literacy in any language, how to spread data literacy effectively in a business, what are some obstacles to doing this, how you measure the success of a data literacy program, and of course the effect of the emergence of AI on all of the above. Valerie even made a custom Scrabble board just for this episode, you can see that on our website halfstackdatascience.com

If you enjoy our podcast, please consider rating and reviewing it on Apple, Spotify, or wherever you listen to podcasts.

  continue reading

28 episodes

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iconShare
 
Manage episode 377204686 series 2423821
Content provided by Half Stack Data Science. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Half Stack Data Science 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://staging.podcastplayer.com/legal.

Continuing our series of conversations with data educators, in this episode we spoke to Valerie Logan.

Founding The Data Lodge in 2019, Valerie is as committed to data literacy as it gets. She believes that in today's digital society, data literacy is not just a work skill- it's a life skill. With advisory services, train-the-trainer bootcamps, an extensive resource library and community services at The Data Lodge, Valerie is certifying the world’s first Data Literacy Program Leads across commercial, nonprofit and public sectors.

In 2022, The Data Lodge was recognized by CDO Magazine as one of the "Top 25 Data Startups to Watch in 2022". Valerie has more than 28 years of experience, including two decades of global consulting across industries, and five years of applied experience in the telecommunications industry at both field and enterprise levels. She holds a B.S. in Math from SUNY College at Buffalo and an M.S. in Applied Math with a concentration in Operations Research from New Mexico State.

We talked to Valerie about how literacy in data is like literacy in any language, how to spread data literacy effectively in a business, what are some obstacles to doing this, how you measure the success of a data literacy program, and of course the effect of the emergence of AI on all of the above. Valerie even made a custom Scrabble board just for this episode, you can see that on our website halfstackdatascience.com

If you enjoy our podcast, please consider rating and reviewing it on Apple, Spotify, or wherever you listen to podcasts.

  continue reading

28 episodes

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