A Fabulous Conversation on LinkedIn on the value of Philosophy in Data Science

  • Deputy Group Manager: Ah I see… Good luck in your new endeavour. Look forward to learn from your posts 💪😁
  • Lee Linah :Wow. Thanks for this encouragement. You seem like a high flyer and work with Ministers. Glad that you are so down to earth!
  • Deputy Group Manager: I won’t see myself as high flyer, but rather someone who grow steadily along the years. I worked in MNC, SME and now with semi government agency, so I have seen different environment.
  • Lee Linah: Wow. Glad to  see that you can learn from a polar opposite from you as we come from entire different backgrounds in education and career. Good to know that you are into learning from diverse experiences and knowledge then!
  • Deputy Group Manager: I am the same avid learner as you. 😀 Jiayou
  • Lee Linah: Yeah. I used to be into Arts and Social Sciences and did a lot of philosophy writings, sociology and psychology. However, recently I do sense that I need to move pragmatically into the job market as demand for skills are still in the STEM area. I felt that I have to restructure my brain to pick up the logical side of things. Even in my Events and Production classes, it is taught by trainers who are come from electrical engineering background. A very steep learning curve at first.
  • Deputy Group Manager: I see. Unfortunately that’s the reality of SG where STEM has more job opportunities. But the complexity in studying social sciences topics should enable you to pick STEM topics as well should you have the interest. Yes the learning curve would be steep but it is really not that difficult once you could pick up the core ideas of the topics.
  • Lee Linah: Thank you for your well meaning advice. I kind of know that I can’t just write niche topics on Philosophy for a living. I will have to pick up data analytics as I heard that there is a great surge in demand due to massive digitalization
  • And people here do encourage me to pick it up if I can learn it
  • Deputy Group Manager: Yes indeed. I think there are also common roots of philosophy and data analytics which is the thirst for knowledge and insights. What you could pick up in data analytics courses are essential technical skills like coding and computer & data literacy, but what the top data analysts would always need the soft skills part: which is the framing of problem statement, examining the context and business value, eventual storytelling. I would assume you would have the upper hands compared to just people with just normal STEM background 😁
  • Deputy Group Manager: Not only the thirst for knowledge and insights, but also the skills in asking relevant questions. That’s what philopshers excel at right? Asking a question that is so hard to answer, and keep finding answers for it
  • Lee Linah : Yes, indeed. Philosophers question everything from the nature of reality to whether we can know things. I think it perplexes people by coming up with moral issues like in data science there is prescriptive analytics where we need to use data to guide decisions. This is where Machine learning or Artificial intelligence cannot learn morality. We have to understand Applied Ethics and Moral Philosophy by asking questions like is this morally right or wrong or is it ethical.
Photo by Olya Kobruseva on Pexels.com

Published by Lee Linah

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