SuperDataScience

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

Michael Galarnyk joins to tackle your questions on data science job hunting and data science education. In this episode you will learn: • Who is Michael Galarnyk? [3:48] • Tools and skills to know [11:52] • Building and sharing a portfolio [26:21] • Advantages of online and in-person education [37:42] • Teaching data science to younger students [43:55] • Necessary soft skills to be a successful data scientist [51:31] Additional materials: www.superdatascience.com/401

In this anniversary episode, we discuss the importance of knowing why you do data science and how your skills may one day impact the world as challenges arise. Additional materials: www.superdatascience.com/400

Monica Royal joins us to discuss her journey from consumer to contributor in the data science community and how sharing your work and exploring networking can help you on your journey. In this episode you will learn: • Monica’s activity in the data science community [5:17] • The biggest takeaways from Monica’s 100 Days of Learnings [11:00] • Techniques for productivity and continued learning [16:03] • Monica’s interest in the SDS podcast and keeping up to date in data science [33:01] • The DataScienceGO Virtual experience [35:51] • Strategic thinking [38:38] • Monica’s parting inspirational thoughts [41:01] Additional materials: www.superdatascience.com/399