394: Teach It
In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning. Additional materials: www.superdatascience.com/394

In this episode, I discuss the power of teaching what you learn to help you retain the highest amount of the information you are learning. Additional materials: www.superdatascience.com/394
John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient. In this episode you will learn: John’s move from Canada to the US [3:37] John’s new position at Oracle [8:31] Data Science Workflows [9:34] John’s solution to data science workflow exploration [12:06] John’s data science design thinking framework [21:20] Case study [34:21] Literate statistical programming [43:12] R or Python? [51:55] Data unit testing [...
In this episode, I describe my morning ritual and discuss the importance of setting up a morning ritual for yourself. Additional materials: www.superdatascience.com/392
John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. In this episode you will learn: John’s first bungee jump [4:01] Calculus and newer approaches [14:01] Elder Research [21:11] Domain knowledge advice [25:26] The importance of instincts [41:52] Ensembles and simplicity [59:33] John’s opinions on neural nets [1:10:49] Target shuf...
In this episode, I share a tip I came across this week about avoiding conflict in interpersonal relationships. Additional materials: www.superdatascience.com/390
Josh Hortaleza discusses how he’s become a juggernaut of an aspiring data scientist and powered through networking and internships to reach his goals in the field. In this episode you will learn: How did Kirill and Josh meet [8:26] Who is Josh? [12:42] Josh’s first internships [17:07] Being “good enough” and the luck factor [34:51] Josh’s goal [40:55] Genuine networking [43:08] Additional materials: www.superdatascience.com/389...
In this episode, I share an awesome tip for anyone at any level around recruitment and headhunters. Additional materials: www.superdatascience.com/388
Lillian Pierson discusses her work on data leadership and how any data scientist can become a data leader in their organization or community. In this episode you will learn: Who is Lillian Pierson? [3:27] Winning With Data [6:08] Four superpowers of great data leaders [11:53] Benefits of developing these skills [17:27] Examples of quick win challenges in Winning With Data [19:34] Impact of COVID-19 [22:23] Where is the industry going? [28:26] Additional materials: www.superdatascience.com/387...
Today, I explain cohort analysis and how this can be used for conversion metrics and tracking the customer journey. Additional materials: www.superdatascience.com/386
T. Scott Clendaniel joins to discuss advanced topics in data science and his forecasts for the future in this field. He also talks about the importance of soft skills for data scientists. In this episode you will learn: Who is Scott Clendaniel? [6:57] Scott’s role at Franklin Templeton [10:24] LinkedIn advanced Q&A [13:29] Tools that Scott uses the most [26:57] Target mean encoding technique [30:35] LinkedIn Q&A on models [33:11] LinkedIn Q&A on soft skills [54:04] LinkedIn Q&A o...
Today, I discuss best practices for data visualization and how to build on what we learned about cognitive load. Additional materials: www.superdatascience.com/384
Sean Casey joins to discuss his data science journey and how he’s used online courses, secondary resources, and the wider network to help his journey to a data visualization professional. In this episode you will learn: How Sean and Kirill met at DSGO Virtual [4:25] Sean’s experience at the virtual event [7:32] Sean’s journey [10:06] Do you need the credibility of a degree? [22:01] Sean’s supplemental readings [24:33] What can others do to replicate Sean’s success? [39:18] Sean’s advice for othe...
Today, I discussed the types of cognitive load and how to best utilize them when imparting information through data. Additional materials: www.superdatascience.com/382
Tony Saldanha joins the podcast to discuss the realities of digital transformation and the steps companies must take to successfully transform in this fourth industrial revolution. In this episode you will learn: Tony’s book on digital transformation [2:51] What is digital transformation [8:30] Five stage framework of going through digital transformation [11:13] Case studies through the stages [16:43] Why do digital transformations fail? [27:26] VC portfolio approach [31:21] Tony’s consulting wo...
Today, I discuss the difference between a data analyst and data scientist and how you can join our team as a potential data analyst. Additional materials: www.superdatascience.com/380
Christopher Bishop speaks on the importance of career tactics in data science and how to prepare and move through the career path you want. In this episode you will learn: Who is Christopher Bishop? [5:18] How Christopher developed his advising framework [9:17] Why data scientists? [12:07] What is the Future Career Toolkit? [15:54] How to connect with people as an unknown data scientist [34:09] What's the intended outcome of the framework? [43:53] Additional materials: www.superdatascience.com/3...
In this episode, I talk about the importance of the unconscious mind in decision making and how logic and reasoning may sometimes hinder you. Additional materials: www.superdatascience.com/378
Deborah Berebichez joins us to discuss her experience as a woman in STEM, her work with upcoming generations of women in STEM, and how she helps facilitate data science trainings. In this episode you will learn: Deborah's origins [4:21] Pursuing physics as a Jewish-Mexican woman [9:43] Deborah's work in helping women in STEM [23:10] How can companies also aid women in STEM? [28:10] How can individual data scientists work on creative thinking? [44:31] Deborah's work at Metis [48:26] Data literacy...
In this FiveMinuteFriday, I talk about the need to widen your horizons, expose yourself to more varied disciplines and thought processes, and the benefits you can get in your work from doing this. Additional materials: www.superdatascience.com/376
Greg Pavlik joins me for a great talk about the current state of the cloud and how single practitioners and small businesses can take advantage of cloud services. In this episode you will learn: Will we have cloud-based solutions for VR and working from home? [8:15] Greg’s career journey [11:50] From Hadoop to Cloud [23:35] The cloud element in data science [30:17] Data science and AI in Oracle [33:00] Is Oracle more suited for larger companies only? [37:35] Fundamental differences between Oracl...
In this episode, I talk about an issue I’ve been having when it comes to phasing my mind out of work and into post-work activities, a concept called “attention residue”. Additional materials: www.superdatascience.com/374
Laurence Moroney sits down to talk about TensorFlow, its community, and his work educating developers in AI and machine learning. We talk about the explosive growth of the community and the great chance for career advancement for all developers, regardless of educational background. In this episode you will learn: Who is Laurence Moroney? [4:14] The importance of developers' focus on AI [8:21] What is TensorFlow and how can it help in AI? [15:53] Differences in TensorFlow editions [26:26] Career...
Today, I talk about P-value and proper hypothesis testing as well as the importance of statistical significance. Additional materials: www.superdatascience.com/372
Anthony Metivier joins us again for an in-depth discussion about how memory and presence can boost productivity for people in their professional and personal lives. In this episode you will learn: Anthony’s technique for memorizing names [12:04] Anthony’s new book and concept of memory [15:45] Memory and productivity insights [31:44] Memory palace construction methods [37:30] How can memory techniques help a data scientist [1:01:30] Challenge frustration curve [1:07:28] Further advice and learni...
In today’s FiveMinuteFriday episode, I wanted to experience explaining support vector regression without the use of any visual aids. Additional materials: www.superdatascience.com/370
John Johnson joins me for a thoughtful discussion about the importance of data in the world of economics and business analytics. We discuss his academic and professional history until his work now and how his company is sifting through economic data during the COVID-19 pandemic. In this episode you will learn: Living and working in Washington D.C. [4:11] John’s initial jobs before Edgeworth [8:41] Edgeworth's core values [12:01] Edgeworth Economics and Edgeworth Analytics case studies [16:57] Da...
Today, I discuss the best ways to ensure you future-proof your career for the great restructuring of the workforce that technological advancements already brought and will bring even more in the future. Additional materials: www.superdatascience.com/368
Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter. In this episode you will learn: Sam’s current work and COVID-19 Critical Care Consortium [4:22] The COVID data science pipeline and workflow [12:50] Sam’s second online course [36:22] Bayesian inference [43:06] Sam at DSGO Virtual ...
Today, I discuss a profound conversation we had with our team this month on success and how you can define your own success. Additional materials: www.superdatascience.com/366
Jon Krohn joins me to discuss his work at untapt in designing models for HR purposes. We also discuss the power of data science across fields of medicine and epidemiology, as well as the future of deep learning. In this episode you will learn: Coronavirus update in New York City [2:36] What brought Jon to New York? [5:38] Data science and coronavirus [12:50] Jon’s work at untapt [18:09] Techniques used to design models in untapt [22:02] untapt’s approach to explainability and bias [30:19] Jon’s ...