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Clearer, Closer, Better | Emily Balcetis
Excel in the field of data science with The ONLY self-development podcast for Data Scientists on the internet.
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Show Notes & Overview
Find Emily online: https://www.psychologytoday.com/us/contributors/emily-balcetis-phd Video of this episode: https://youtu.be/5SrfAxUHLyw Highlights of the show: [00:00:20] Guest Introduction [00:02:40] Where did you grow up and what was it like there? [00:07:09] Is life different now than what you imagined it would be? 00:10:02] At a high level, how does this experience we call site work? Is it just like, seeing things? And that's it, like what's going on in my head when I'm looking at something? [00:14:21] You talk about these four different ways that are our sight helps us achieve our goals. Can you talk about them at a high level? [00:28:13] Once we do find that one thing we want to focus on, like, how do we push ourselves through to the finish line? [00:38:36-00:38:41] Can you help us understand what narrow focus is as knowledge workers? How can we use narrow focus to help us achieve our goals? [00:45:55] how do we concretely identify a definitive moment of success before starting our journey? [01:01:39] Positive feedback can sometimes backfire, right when we're pursuing our goals. What what is it about that? [01:09:30] It is one hundred years in the future. What do you want to be remembered for? [01:10:33] Random Round [01:10:37] What's on your bucket list this year? [01:10:52] What makes you cry? [01:11:09] What's one of your favorite comfort foods? [01:11:27] What's the last book you gave up on and stopped reading? [01:12:08] What are you currently reading? [01:12:45] What song do you got on repeat nowadays? *The Artists of Data Science Social links: * YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData
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Hosted by Harpreet Sahota
Principal Developer Relations Engineer and Hacker-in-Residence at The Employable Data Scientist. We embed directly with technical teams to build prototypes, evaluate models, and create developer trust.