The Artists of Data Science

Support the show: https://www.buymeacoffee.com/datascienceharp Find Natalie online: https://www.figure8thinking.com/about/ Watch the video of this episode: https://youtu.be/3Dr7OcyQj1M Highlights of the show: [00:01:32] Guest Introduction [00:03:34] Where did you grow up and what was it like there? [00:08:04] Talk to us about the idea of “indoctrination to education”. [00:12:35] Your interesting ‘creativity research’, when did that start? How did your interest in that get sparked? [00:18:24] How can we make creativity more accessible and not just something that feels like it's in the domain of artsy people? [00:23:15] What is your definition of creativity? [00:27:27] Discuss the aspect of wonder and rigour. [00:29:09] What's wrong with the way that we're currently asking questions? [00:38:17] Walk us through what design thinking is and how does that help us be more creative? [00:40:58] What is divergent and convergent thinking? [00:50:47] Talk to us about the remix, the reframe and repurpose. How they help play a role in being creative? [00:53:04] Talk to us about 'Fashion thinking'. [00:56:20] It is 100 years in the future. What could it be remembered for? Random Round [00:57:13] What are you currently reading? [00:57:37] What song do you currently have on repeat? [00:58:22] What's the best thing you got from one of your parents? [00:58:31] In your group of friends, what role do you play? [00:58:41] What fictional place would you most like to go to? [00:59:02] Pizza or tacos? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/7l-pB7RkCJA Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Find Andrew online: https://www.linkedin.com/in/andrew-jones-data-science-infinity Watch the video of this episode: https://youtu.be/hiEEAIGP8Zo Memorable Quotes from the Show: [00:20:55] “You need somebody in there to be putting the nuance on that to make it actually work. I think for me as well, like Auto, where ML doesn't have any business sense necessarily, so it doesn't know what problems to solve or it doesn't know why it should solve them. So I think humans are still a huge part of that. I don't think that's going away anywhere soon. It's just an evolution and data scientists are going to start, you know, there's going to be bits where automation comes in and helps us do our jobs even better. But I don't think it's going to take away jobs necessarily. I don't have any particular fear about that.” Highlights of the Show: [00:01:18] Guest Introduction [00:03:20] Where did you grow up and what was it like there? [00:06:19] When you were in high school, what did you think your future would look like? [00:07:12] At six foot seven. It's a shame that you did not get into basketball. Is that right? [00:07:48] Did you start doing analytics in New Zealand or start in London? Walk us through that journey. [00:10:39] What's the toughest part about transitioning from SAS into python? [00:16:25] You've been in this field for over a decade. How far has it come since you first broke into it? [00:19:13] Can you share a hot take with us on where you think the field of data science is headed? [00:33:29] Talk about your mission to help develop data scientists. [00:39:28] What makes an employable data scientist different from an unemployable one? [00:42:07] Where do you think most data scientists go wrong in terms of their own career development? [00:45:07] “How to choose the right model to train the data?” [00:49:06 Is there a field within machine learning that focuses on incorporating human concerns through technology development? [00:51:58] “What advice do you give social scientists that are learning data analytics? Any particular hints for psychologists trying to understand acceptable norms of behavior when creating data science projects?” [00:54:04] Talks to us about the top five reasons that candidates get rejected. [00:58:13] When it comes to career growth and development. What's the biggest lesson you learned the hard way that you want to make sure no one else makes? [00:59:49] It's 100 years in the future. What do you want to be remembered? Random Round [01:01:18] What do you think will be the first video to hit 1 trillion views on YouTube? And what will that video be about? [01:03:29] What are you currently reading? [01:05:09] What song do you currently have on repeat? [01:06:30 If you had to change your name, what would you change it to? [01:07:26] What's on your bucket list this year? [01:08:40] What's the story behind one of your scars? [01:09:51] What languages do you speak? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/2kCDJbiTCk8 Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Read Brittany' book: Bigger Than Leadership https://www.amazon.com/Bigger-Than-Leadership-Influence-Inspiration-ebook/dp/B093PJGB6R Watch the video of this episode: https://youtu.be/HP-_FJh8UGY Memorable Quotes from the episode: [00:33:19] “No matter who you are, no matter where you are, you do leave a visible,or like a physical, but also a more mental footprint everywhere you go. That is something that's really powerful.” Highlights of the Show: [00:01:18] Guest Introduction [00:02:34] Where did you grow up and what was it like there? [00:04:05] When you were in high school, what did you think your future would look like? [00:07:44] Talk to us about your personal definition of what leadership is, what it means to you, and then why write about leadership? [00:10:30] Who is your book for? [00:12:36] Do you think a lot of people tend to feel that way, like they don't see themselves as leaders or they don't realize that they have this leadership ability. Would you agree with that? Why? Why not? [00:14:35] What was the process like while writing your book? How did you manage your knowledge? How did you manage the notes? And then finally, how did all that come together in a book? [00:16:51] Talk to us about the importance of stories and why they serve as such useful reminders for us. [00:19:29] How do you balance all the activities - full time course load, writing a book in the middle of a pandemic? How did you manage all that? [00:22:55] “Can you tell us more about the role of introspection in your writing work and the role of introspection in stories of leadership?” [00:25:55] Do you have an introspection practice that you undertake? Is it just sitting and thinking, is it sitting in journaling? Is it going for a walk and thinking? How do you get your introspection on? [00:28:58] How were you able to keep a narrow focus while exploring so much data in your writing? [00:32:41] Talk to us about the “Three Eyes framework”. You touched a little bit on the intentionality aspect of it, but talk to us about how these three, I guess what these three eyes are and how they relate to leadership. [00:43:02] Talk about the difference between leadership and mentorship. [00:45:36] Can you share some tips with the audience for how we can go about finding a mentor for ourselves? [00:49:17] What tips would you have for someone who finds themselves in a position similar to mine where all of a sudden people have started following them on LinkedIn and or other social media and have started to view them as mentors. What advice would you share? [00:54:20] It is 100 years in the future. What do you want to be remembered for? Random Round [00:56:30] When do you think the first video to hit 1 trillion views on YouTube will happen? And what do you think that video will be about? [00:57:11] What do most people think within the first few seconds of meeting you for the first time? [00:58:48] Talk to us about what the book title “Bigger Than Leadership” means to you. [01:00:53] What are you currently reading? [01:02:12] What is your procedure for taking notes? [01:03:11] What song do you currently have on repeat? [01:04:22-01:04:28] When people come to you for help, what do they usually want help with? [01:05:45] What is your theme song? [01:06:26] What issue will you always speak your mind about? [01:07:25] Who inspires you to be better? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/tzg4SkNo4g0 Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Find Joe online: https://www.linkedin.com/in/josephreis Joe is a business-minded data nerd who’s worked in the data industry for 20 years. In his two decades as a practitioner he’s worked on the full gamut of data tasks from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between. He’s taken all that experience and started his own venture and is currently the CEO of Ternary data. Watch the video of this episode: https://youtu.be/6jGmXBaTJkI Memorable Quotes from the episode: [00:42:09] "...My other piece of advice, which is, do you lose money for the firm? I'll be understanding. If you lose a shred of reputation, I will be ruthless. Let's talk with me. Right. Reputation is everything. As he also says, it takes a lifetime to build a reputation. It takes 15 minutes to destroy it. So when we started our business, I thought it was interesting. We didn't really care about the money. We cared about reputation and cared about doing great work, meeting great people and just, I think developing good relationships. I always optimizing for reputation. I think we thought if we could build that pile of reputational capital, the money would follow. The reverse is rarely true, though. In the short term, you can build as much money as you can, but you can destroy your reputation. And then who's going to want to do business with you?" Highlights of the show: [00:01:11] Guest Introduction [00:03:34] Joe, where did you grow up and what was it like there? [00:05:22] What were you like as a high school kid? What did you think your future would look like? [00:06:46] When you'd make the move over to Salt Lake City? Was that when you started working? Did you go to school there? [00:09:08] What was it like kind of when you first started out and what drew you to this kind of field (data science)? [00:14:02] Where is the science in data science? Is there any science in data science? Is it scientism? [00:26:10] How did you guys link up and decide to start ternary data and can we even get the story behind the companies name as well? [00:27:23] What are some problems that you just see as a consultant pop up over and over? [00:34:06] Do engineers add value and how should we think about a return on investment for the work that they do? [00:41:23] Talk to us about your blog post about the concept of reputational capital. [00:43:04] Do you have any tips for people who are just early in their data science career. In their first job as a data scientist, how can they accrue some of this 'reputational capital'? [00:45:56] How reading science fiction has made you a better technologist? What science fiction has done for you, has it made you a better technologist? [00:47:44] What would you say is the one sci-fi work that's had the biggest influence on you as a technologist? [00:51:04-00:51:17] You've got such a dope setup here. What's all this about? The keyboards? You got turntables, you got multiple keyboards. Are you making your music. Do you got any undercover Spotify? [00:52:59] It's 100 years in the future. What do you want to be remembered for? Random Round [00:54:02] When do you think the first video to hit to 1 trillion views on YouTube will happen? When will that happen and what will that video be about? [00:55:33] What song do you have on repeat? [00:55:53] What are you currently reading? [00:59:19] What's kind of your process when you're reading? [01:03:12] What talent would you show off in a talent show? [01:03:39] What do you mean by organizational behaviour? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/voMA7BvAHJ8 Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Find Brent online: https://www.linkedin.com/in/brentdykes Watch the video of this episode: https://youtu.be/QcihRq9ieWE Highlights of the show: [00:01:21] Guest Introduction [00:03:33] Talk to us a bit about where you grew up and what it was like there? [00:04:58] You're still involved in the technology field and still involved with 'Data' in a sense. So is life really different than what you imagined it might be? [00:08:36] ...the new indicating or talking or informing what is there,subtle differences is it glaring differences? Talk to us about that. [00:14:05] I love philosophy, and Aristotle is definitely one of my favorites. So I'm wondering what can Aristotle teach us about persuasion and storytelling? [00:15:18] "Telos" [00:20:55] System one and System twos. [00:21:00] If most of our decisions are very emotional, then how is it that we can make better decisions in spite of this emotional nature that we have? [00:24:09 How do you define the term "motivated reasoning"? [00:27:25] What are the differences in the ways that facts and stories activate our brains? Are some other differences in the ways that you know, facts and stories that activate our brain? [00:31:48] What is a Data story like? Isn't it just the same as a dashboard with visuals or is it something else? [00:37:19] What are the elements of an insight? How do we go from fact to insight? [00:40:08] Is there a distinction between just the old fashioned insight and like an actionable insight? How do we distinguish the two? [00:47:15] What is the "FOUR D" framework? [00:52:32] We might have an audience member that's a key audience member, and they just want the facts. How do we how do we handle that situation? [00:59:03] What's the difference between a Data story and a Data forgery? [01:04:41] You talk about Cognitive Biases, Logical Fallacies in your book, what are these and why are they important to watch out for? Why should we keep an eye out for these things? [01:10:45-01] It is this it's one hundred years in the future what do you want to be remembered for? [01:12:23] What are you currently reading? [01:12:43] What song do you currently have on repeat? [01:13:26] If you lost all of your possessions, but one, what would you want it to be? [01:13:48] What's your worst habit? [01:13:55] What's your favourite, candy? [01:14:12 What's one of your favorite comfort foods? [01:14:24 What's something you learned in the last week? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/lDh5crPq_Yc Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp