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Contenuto fornito da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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Kate Strachnyi on the Path from Data Analytics Practitioner to Respected Data Storyteller

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Manage episode 343875788 series 3023824
Contenuto fornito da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Today's guest is the one and only Kate Strachnyi, a meteorically rising star on the LinkedIn data circuit and appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019.

We discover the mission behind her data media company, DATAcated, and her expert advice on how to overcome the greatest obstacles faced by data analysis practitioners and provide solutions for overcoming them, before delving into the topic of confirmation bias and how to sidestep it, and so much more!

>> VIEW SHOW NOTES + RESOURCES


In This Episode, You’ll Learn…

  • The greatest obstacles in data analysis and data storytelling for practitioners today.
  • Kate’s top tips for better data storytelling.
  • How to use data storytelling to incite emotionally-driven, yet data-justified decisions.
  • How to avoid your own and your audience's confirmation bias in guiding the story.


People, Blogs, and Resources Mentioned

My free 30-second online assessment to find out the #1 silent killer of your data presentation success

  continue reading

85 episodi

Artwork
iconCondividi
 
Manage episode 343875788 series 3023824
Contenuto fornito da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Lea Pica | Data Storytelling Advocate, Speaker + Educator, Lea Pica | Data Storytelling Advocate, and Speaker + Educator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Today's guest is the one and only Kate Strachnyi, a meteorically rising star on the LinkedIn data circuit and appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019.

We discover the mission behind her data media company, DATAcated, and her expert advice on how to overcome the greatest obstacles faced by data analysis practitioners and provide solutions for overcoming them, before delving into the topic of confirmation bias and how to sidestep it, and so much more!

>> VIEW SHOW NOTES + RESOURCES


In This Episode, You’ll Learn…

  • The greatest obstacles in data analysis and data storytelling for practitioners today.
  • Kate’s top tips for better data storytelling.
  • How to use data storytelling to incite emotionally-driven, yet data-justified decisions.
  • How to avoid your own and your audience's confirmation bias in guiding the story.


People, Blogs, and Resources Mentioned

My free 30-second online assessment to find out the #1 silent killer of your data presentation success

  continue reading

85 episodi

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