Superdatascience

Brian T. O’Neill joins me for an insightful dive into how you can implement human-centric practices into your data work, whether you’re a consultant or individual contributor. There are ways and steps to workshop best practices in conversations with stakeholders. In this episode you will learn: Brian’s two lives [7:28] Brian’s human-first focal point [10:05] The process of Brian’s consulting work [17:07] How can an individual contributor be better at design thinking? [40:43] Walkthrough Brian’s course and seminar [54:37] Additional materials: www.superdatascience.com/353

Today, we’re diving into our fifth and final part of our history of data science series by looking into data science’s future through the eyes of five of the most influential people in our space and how they see the next few decades. Additional materials: www.superdatascience.com/352

Stratos Hadjioannou is a freshly hired data scientist who is self-taught and made the jump to visit DSGO. He talks about his learnings, putting himself in a data science ecosystem, and how to tackle interviews with little experience. In this episode you will learn: Where did Stratos start? [6:16] How to keep the momentum for learning [12:20] Stratos’s goals [19:35] Planning the steps to getting a data science job [23:01] Triad for successful interviews [32:47] Application process [34:53] Experiences from the first data science job [45:51] Additional materials: www.superdatascience.com/351

Today, we take some time to discuss the real mental and emotional toll social distancing can take during the coronavirus. How can we effectively tackle each other's needs during this period? Additional materials: www.superdatascience.com/350

Brad Klingenberg talks about the unique way Stitch Fix uses algorithms and human-in-the-loop AI to generate excellent customer experiences and pull ahead of other retailers in the space. In this episode you will learn: Working in Stitch Fix [5:18] How does Stitch Fix work? [11:29] Stitch Fix algorithms tour [20:14] Open positions in Stitch Fix [36:25] Stitch Fix takeaways for other companies [39:07] Humans + machines [44:19] Stitch Fix global expansion [47:34] Future of personalization [50:16] Brad’s advice to data scientists [55:33] Additional materials: www.superdatascience.com/349

In the penultimate episode of our history of data science series, we look at 2015 on and watch as data science goes from being about hard skills and coding to being about ethics and progress. Additional materials: www.superdatascience.com/348

Kerri Twigg talks with me about her work in helping professionals talk about themselves and tell stories about their passions and professional work to land ideal jobs and propel their career trajectory. In this episode you will learn: Kerri at DSGO 2019 [6:09] Who is Kerri Twigg? [8:00] A case study from DSGO 2019 [9:51] How do you build a career story? [18:30] Kerri’s book and practices [32:35] How to prepare for interviews [43:22] 3-Parts of a career story [56:53] Additional materials: www.superdatascience.com/347

In this FiveMinuteFriday we take a break from our series on the history of data science to discuss productivity and my top 5 hacks for getting more hours out of your day and week. Additional materials: www.superdatascience.com/346

I speak with Dan Shiebler who works as a machine learning engineer at Twitter Cortex and at the same time, is doing a Ph.D. on applying category theory in machine learning. We discuss his work at Twitter, the importance of academics, and the future of machine learning. In this episode you will learn: What is great about Twitter [5:31] Dan’s Ph.D. program [9:25] Dan’s work at Twitter [18:07] Dan at DSGO 2020 [35:16] LinkedIn Q&A [40:25] Dan’s advice [1:03:58] Additional materials: www.superdatascience.com/345

In the third of five episodes in this series, I journey through 2010 into 2015 to look at the boom of self-driving cars, the growth of data science as a profession, and the beginning of educational paths for future data scientists. Additional materials: www.superdatascience.com/344

I speak with Jose Quesada, founder and CEO of Data Science Retreat about the purpose of his program to help data scientists learn and find jobs through a three-month retreat and portfolio project. In this episode you will learn: Overview of Jose’s current projects [5:55] "What if I don’t have a tech background?" [09:58] How does it work? [11:51] Program structure [21:24] Tips for picking a portfolio project [26:45] The program’s next intake [1:03:06] Additional materials: www.superdatascience.com/343

In the second of five episodes in this series, I take a step into the early 2000s and the true boom of data science as a profession and philosophy of study, as well as look at some of science fiction’s failed hopes for data science by this time. Additional materials: www.superdatascience.com/342

Brandon Rohrer joins me in this special episode about robotics, machine learning, and the merge of software and hardware to create innovative technology for homes around the world. In this episode you will learn: Brandon at MIT [7:41] iRobot [15:14] Moving from Facebook to iRobot [17:14] Brandon’s work in iRobot [20:18] Brandon as a data science influencer [30:08] Q&A [40:40] Additional materials: www.superdatascience.com/341

In this five-episode series, I dive into the history of data science from the beginning of mathematics to today. In this first episode, we start by looking in the 1950s and go up to the dawn of the 2000s. Additional materials: www.superdatascience.com/340

I sat down with my coach Ivor Lok to discuss the power and importance of coaching and how everyone can use it in their personal and professional lives to become happier. In this episode you will learn: Managing expectations [9:21] Personal beliefs & parenting [17:42] Value of having a coach [25:33] Mindset over skillset [37:24] Dream lists [51:06] Ivor’s new projects [1:03:20] Additional materials: www.superdatascience.com/339

I discuss an observation I had recently about how many photos we take, and how much we miss out on by focusing on capturing a moment rather than living it. Additional materials: www.superdatascience.com/338

Hadley Wickham, a huge presence in data science, sits down to talk about R, Python, and the future of potential integrations, as well as some Q&A with our listeners through LinkedIn about programming languages and how to make data science accessible for all. In this episode you will learn: Hadley’s R packages [8:26] Better integrations between R and Python [20:11] LinkedIn Q&A [33:34] useR Conference vs. RStudio Conference [50:46] LinkedIn Q&A: Career-related questions [1:01:06] LinkedIn Q&A: Future-related questions [1:08:01] Additional materials: www.superdatascience.com/337

I discuss something that popped up for me recently: is it better to have something finished or to have something be perfect? I explore the answer and what it can mean for you in your life. Additional materials: www.superdatascience.com/336

Rico Meinl failed when he tried to make a successful startup. He learned a lot from it and shared his story and learnings for nearly 2 hours in one of our longest and most insightful podcasts to date. In this episode you will learn: Rico at DSGO [8:50] Dresswell [17:10] B2B vs B2C in startups [34:03] Rico's 5 learnings [53:25] Learning no. 1 [53:54] Learning no. 2 [56:33] Learning no. 3 [1:10:43] Learning no. 4 [1:24:08] Learning no. 5 [1:34:02] Rico’s next steps [1:45:35] Additional materials: www.superdatascience.com/335

I return to the concept of no coaching in more detail and discuss how I recently had a good conversation with a friend without giving advice but offering empathy. Additional materials: www.superdatascience.com/334