382: Manage Cognitive Load in Data Science
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
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 ...
Today, I’m talking with Anthony Metivier about practices to help your brain and body, work through the stress of the pandemic. Additional materials: www.superdatascience.com/364
Piyanka Jain goes in-depth about the true power of data that can be unlocked when you combine intuition with data science practices and follow a hypothesis-driven framework to reach your project goals. Items mentioned in this podcast: The power of data plus intuition [5:29] BADIR framework for data science [12:36] What can students pick up from Aryng’s courses? [24:58] SWAT data science teams [34:16] The rate of successful projects [39:38] Four D’s of Data Culture [45:27] Decision science vs dat...
Today, I’m talking about an interesting topic I found in our own Data Science newsletter about the need for hybrid AI models in the future. Additional materials: www.superdatascience.com/362
John David Ariansen joins me for an episode on the best practices for getting into data science consulting, the importance of understanding data science and analytics, and how you can network, even during a pandemic. In this episode you will learn: Coronavirus and how it will affect the way we work [3:06] John David’s consulting work [8:19] Why did John get into consulting? [13:17] Does John David’s age affect his clients? [25:03] John David’s podcast [34:59] The difference between data science ...
In this episode, I’m exploring some topics in proper sleep habits to help you keep good sleep schedules. Additional materials: www.superdatascience.com/360
Emily Robinson breaks down her new book “Build a Career in Data Science” by sharing what skills she focuses on exploring, who the data science field is for, and how to tackle interviews and negotiations. In this episode you will learn: Long-distance networking [5:58] Emily’s book [9:38] Who is the field of data science for? [14:02] Should newcomers use Python or R? [23:34] Five company archetypes [28:36] Approaching data science interviews and negotiating [31:25] How do you actually get an inter...
In this episode, I’m discussing my personal experience with discrimination during a trip at the start of the pandemic and how it elevated my understanding of racism and discrimination beyond just a cognitive level. Additional materials: www.superdatascience.com/358
Tracy Crossley, a Behavioral Relationship Expert, talks about how you can explore yourself during this difficult time. We also explored how different relationship dynamics can be tested during a forced lockdown and how to avoid dangerous emotional pitfalls. In this episode you will learn: What work does Tracy do? [5:50] Tracy’s training [8:20] Tracy’s view on the consequences of the pandemic [12:55] Ways to tackle emotions during lockdown [17:14] Final advice to those struggling during lockdown ...
Today, I’m helping you explore working remotely. Whether you’ve started doing this during the pandemic or you've been interested in and exploring remote-based jobs recently. I outline three advantages and three disadvantages to consider. Additional materials: www.superdatascience.com/356
DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children. In this episode you will learn: How does it feel to be the person who created data science as we know it now? [3:17] What data science is not [6:01] Ethics and data science development in different countries [10:00] What is the “biorevolution”? [16:02] The importance of data sharing [20:10...
Today I discuss a negative coefficient as a philosophical concept in problem-solving in your life. Do you make things worse by ignoring a problem or doing the wrong things to fix it? Additional materials: www.superdatascience.com/354
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 ...