Superdatascience

Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications. In this episode you will learn: Data science in South Africa [6:08] Theunis’s current companies [11:32] Industry 4.0 [13:59] Digital twins [22:37] Theunis’s day-to-day [38:54] Further examples of digital twins [42:26] Future of digital twins [48:02] Theunis’s advice for data science newcomers [57:17] Process digital twins vs. system digital twins [59:42] Additional materials: www.superdatascience.com/421

In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is. Additional materials: www.superdatascience.com/420

Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. In this episode you will learn: Career planning [7:24] Consequences of designing against requirements [8:57] The framework of a good system design [30:32] The right approach to project design [44:00] Juval’s book [1:02:31] The progress and future [1:03:48] Additional materials: www.superdatascience.com/419

In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake. Additional materials: www.superdatascience.com/418

Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data. In this episode you will learn: What is Elephant Ventures? [8:11] Data quality engineering [21:00] The importance of focusing on business value [39:58] Methodology for understanding the company’s business value [46:05] What is data engineering? [49:28] What is data product development [51:34] What are the technical skills needed for these jobs? [56:02] What is the future bringing for data science? [59:23] Additional materials: www.superdatascience.com/417

In this episode, I talk about the three key ingredients for a successful, happy career in data science. Additional materials: www.superdatascience.com/416

Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position. In this episode you will learn: Asieh’s background [5:09] Machine learning techniques for processing biosignals [14:24] Signal processing [22:22] Asieh’s career and move from academia to industry [27:19] Maintaining technical skills as a manager [41:48] MassMutual is hiring [47:02] Leading a remote data science team and work/life balance [49:55] Asieh’s words for other women in data science [55:28] Future of data science [1:00:30] Additional materials: www.superdatascience.com/415

Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that. Additional materials: www.superdatascience.com/414

Emmanuel Letouzé discussed in-depth his work in global data science literacy and how he hopes data science will benefit the world in various societal and socio-economic challenges. In this episode you will learn: Parenting and its effects on Emmanuel’s life and work [3:14] Why did Data-Pop Alliance come to life? [8:42] Working with Harvard and MIT [13:04] Examples of projects and areas of focus [18:16] Data as lenses and data as lever [29:43] Sustainable Development Goals indicators [38:21] How can we use data as a lever? [43:41] How can data help with disaster resilience? [57:09] The future of data science [1:04:09] Additional materials: www.superdatascience.com/413

Today I talked with a chiropractor about how to best treat your back while working during the day. Additional materials: www.superdatascience.com/412

Jennifer Cooper talked with us about her role as a strategic analyst and how others can get involved with similar positions around analytics and hybrid roles. In this episode you will learn: Jennifer’s start in data science [6:04] What is analytics support function? [16:01] Keys to success in analytics roles [21:09] How do you find these roles? [42:42] DataScienceGO Virtual #2 [50:45] Common questions Jennifer gets [1:00:52] Additional materials: www.superdatascience.com/411

Today I talk about something important, which I recently had to reteach myself, about personal needs and communication. Additional materials: www.superdatascience.com/410

Steve Nouri talks with us about the importance of managing your personal brand, participating in hackathons, and being active in the conversations around AI as you begin your career. In this episode you will learn: Steve’s work in the Australian Computer Society [4:32] River City Labs [12:22] Hackathons during the pandemic [16:21] Choosing a path in AI [26:09] The AI bubble and its implications [31:09] Strategic data acquisition [38:04] Explainable AI [43:50] Creating a personal brand [51:35] Additional materials: www.superdatascience.com/409

Today I talk about an interesting concept that can often be the cause of conflicts in professional and personal relationships. Additional materials: www.superdatascience.com/408

Margot Gerritsen joins us for a great discussion that was both technical and inspiring, on the topics of principal component analysis and linear algebra, as well as the importance of women in data science. In this episode you will learn: Margot’s travels and background [7:29] Margot’s position and work at Stanford [13:38] What is linear algebra? [18:00] Principle component analysis [23:02] WIDS, Women in Data Science [32:08] Margot’s diversity call to action [58:12] How can men support their female colleagues? [1:05:55] Additional materials: www.superdatascience.com/407

Today we discussed the Buddhist concept “abandon hope” as a way to avoid falling victim to negative emotions and fear. Additional materials: www.superdatascience.com/406

Thomas Obrist joins us to give an advanced talk on the work he does in the financial and energy space as a quant and how it overlaps with data science. In this episode you will learn: Thomas’s background and studies [5:04] Long and short in financial markets [8:33] Thomas’s current role at Axpo [14:55] Quant vs. data scientist vs. data analyst [18:55] The Monte Carlo method [26:26] Thomas’s day-to-day [30:06] Grid loss use case [35:25] Thomas’s hackathon success [53:22] Thomas’s recommendation for those interested in the space [1:01:39] Additional materials: www.superdatascience.com/405

Today we dissect the building blocks of storytelling to help you become a better presenter of your data science insights. Additional materials: www.superdatascience.com/404

Juan Gabriel Gomila Salas joins for an exciting discussion about his work in the game industry and how gamification can boost data science impact across industries. In this episode you will learn: Juan Gabriel’s work before and during COVID-19 [3:37] Juan Gabriel’s unique career path [10:36] Video game monetization case study [25:44] •How can data scientists utilize gamification in their daily jobs? [36:28] Juan Gabriel’s work as a professor [42:46] Is online education the future? [47:40] Data science in the English speaking world vs the Spanish speaking world [52:30] Where is data science headed? [59:45] Additional materials: www.superdatascience.com/403

In this episode, I discuss an interesting metaphor I’ve recently utilized to help myself face and overcome toxic or negative feelings. Additional materials: www.superdatascience.com/402