Superdatascience

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 [53:28] What drives John? [1:00:56] Additional materials: www.superdatascience.com/393

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 shuffling method [1:17:27] What does the future of data science hold? [1:39:53] Additional materials: www.superdatascience.com/391

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 on forecasts for the future [01:00:19] Hub and spoke model in Data Science Management [01:08:32] Scott’s advice for advanced data scientists [01:10:12] Additional materials: www.superdatascience.com/385

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 others just starting [50:15] Additional materials: www.superdatascience.com/383

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 work and top tips [40:11] Change management and COVID-19 [44:44] Disruption vs. digital transformation [51:14] What does the future hold? [53:50] Additional materials: www.superdatascience.com/381

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/379

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 done the right way [1:00:33] The future of data science [1:04:55] Additional materials: www.superdatascience.com/377

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 Oracle Cloud, Amazon, and Azure [42:12] Trends in data science and data management [45:14] Why should someone choose Oracle over any other open source? [52:50] How does the future of data management look like? [56:00] 5G and edge computing [1:01:36] Greg’s recommendation to data scientists [1:04:28] Additional materials: www.superdatascience.com/375

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