Why is Balance Important in Data Science?

Key Takeaways

hello everyone and aloha ken here coming to you from Maui in my last video I talked a little bit about motivation and productivity when learning data science now when I'm on vacation I think it's kind of fun and interesting to talk about the other side of data science which is balance and balance and data science comes in two areas the first is work-life balance and the second thing is actually balancing your skill set so we're talking about the balance between technical skills and with soft skills and presenting information as usual if you enjoy this video please hit that like button and if you want to see more content similar to this please subscribe to my channel so the first thing I wanted to talk about is work-life balance data science is mostly sedentary you're also working on cognitively challenging tasks and it's great if you really enjoy this but we all need a little bit of a break sometime so personally for breaks I enjoy physical activity I like being outside I enjoy things like that and those are the things that energize me for other people it might not be that it might be that you enjoy Netflix or you want to work on other coding projects but we can't as humans always be doing the same work I think that it is up to you how you refuel and you know replenish your energy stores but it can't always be through data science you know it's a great field but we do need some diversity in our life you know one you are replenishing your energy there are people that are introverted and they're people that are extroverted if you come home and being around people all day is really tiresome it might be best for you to actually go home and spend some quality time by yourself if on the other hand data science is too much being in front of a computer and you know too much with your head down you need to socialize the people to gain energy that's also completely ok and you should probably build that into your your time when you're not working I'm more of the extroverted side so I get a lot of energy by being around my friends being around significant others etc well now I'm moving on to balance within the data science field so I know a lot of really good data scientists who are extremely focused on the technical elements so they're great at building you know engineering the data building the models and production izing them but they sometimes don't necessarily focus or feel that the other side of explaining the information is all that important on the other hand I have people who have come from business or consulting like myself who are great at explaining and understanding how to simplify the terms but the technical understanding isn't always there so what I would recommend is to at least spend a little bit of time focusing on the the other area that you don't specialize that usually people coming from computer science understanding the power of visualization understanding how to weave a story out of your analysis is really important and for people coming from more of a business side a less technical side it's really important to get into the nitty gritty details of the programming in the math I think that if you're able to have both of these skill sets it makes you a more complete data scientist it makes you more employable and it makes you well it gives you the skills to get along better with your co-workers and to make more of an impact in your role I wanted to keep this video relatively short so if you have any questions comments on this please leave them in the section below and until then good luck on your data science journey