Data science is prolly the best area of Science and Mathematics

Does the IQfytards agree with Data scientist?

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  1. 1 month ago
    Anonymous

    Isn't data scientist more like data confirmation biastist. Where they choose a curve they like and then force the data to fit the curve by fiddling with parameters ?

    • 1 month ago
      Anonymous

      Ideal candidate must have interest in p-hacking! :^)

      • 1 month ago
        Anonymous

        :3

  2. 1 month ago
    Anonymous

    >load up python
    >scrape the web
    >smash tables together
    >ooo pattern
    >visualize
    >present findings to boomer
    What do you mean by best?

    • 4 weeks ago
      Anonymous

      What the frick does a "data scientist" actually do?
      It's just python bullshit and making nice plots

      It's hard to define, but typically I go by function. Data Scientists are typically working on routine reporting functions. Think routine reports informing and predicting how much inventory you have a grocery store and how much you will have over the coming days sort of thing.

      Super routine, the process is well defined, but you can refactor parts of it easily (like refining the prediction algorithm). So think of the work associated with putting that stuff together and maintaining it and you have data scientists and data 'engineers' (who are basically just databasers). They're basically trying to provide actionable intelligence to the business or organization.

      Acting on the Intelligence brings you largely into the world of operations research (given you know and can accurately predict your stores inventory, how should you optimally organize things?).

      Analytics, which you seen thrown around a lot, is more one off focused. Think the majority of what researchers do, it's not routine reporting, it's a one of analysis on something within the business (which may grow into something routine later). Personally, I don't find data science very interesting, but some people really like providing actionable intelligence to people.

      You seriously have no idea what data science entails, coming from a data scientist. It's
      >load python up
      >get garbage data
      >do linear regression
      >present
      If you try anything more, the companies think its a waste of time and hate that you present things they don't know, they just want to know DOES IT GO UP OR DOWN
      And the problems and data they have essentially only lend itself to linear regression.
      >t. worked for international companies and startups alike

      • 4 weeks ago
        Anonymous

        Actually I lied. I just use R these days (I always use ggplot2 for shit), although I like python -> clean and crunch -> load up clean data into R.
        Since I started writing R markdown reports (Knitr, etc) I just do everything in R Studio. It essentially allows me ~10 different R report templates and with minimal changes, just have a preprocessing pipeline script and then push it into one of my fancy shmancy reports.
        investing into fancy ggplots -> team player, amazing data scientist, smart, due for a promotion
        investing in proper modeling -> this is kinda useless, what does this mean, am I supposed to know what this means?, can you at least tell us something useful?, hopefully it's better next time

        • 4 weeks ago
          Anonymous

          I know Python and Power BI.
          Why is R something you use?
          I know R is used for visualizations mostly. Why not use Power Bi or Tableau at that point?

  3. 4 weeks ago
    Anonymous

    Are you scared of loops?

    • 4 weeks ago
      Anonymous

      What the hell is that ? Imagine struggling with programming 1 concepts.

      • 4 weeks ago
        Anonymous

        Type her name into a search engine and it mostly comes up with articles about how she's evidence of the power of diversity, without any hint of irony. Can't even figure out simple loops and is considered a topic expert in her field. Thankfully she ruined it all by getting a big head and believing herself to be invincible when she ran herself into the Ukraine buzzsaw of virtue.

        • 4 weeks ago
          Anonymous

          I genuinely thought it was shopped and faked to troll people

    • 4 weeks ago
      Anonymous

      i'm scared of fruit loops

    • 4 weeks ago
      Anonymous

      I don't understand how someone can be okay with while loops but not for loops
      A for loop is just a while loop where you set the iterator, how it iterates, and stop condition at the top
      Now I wanna see her while loops

  4. 4 weeks ago
    Anonymous

    GOOD MORNING SAAAAR

  5. 4 weeks ago
    Anonymous

    Computer science is beneath me. I prefer learning about REAL subjects.

    • 4 weeks ago
      Anonymous

      Computer science isn't data science. Computer scientists don't know anything about probability or statistics, and data scientists don't know anything about programming. They both are just worse versions of statistical signal processing, but for different reasons.

    • 4 weeks ago
      Anonymous

      Discrete math textbooks have all the computer science a based scientist will ever need.

    • 4 weeks ago
      Anonymous

      I will never understand the butthurt that cs causes people

  6. 4 weeks ago
    Anonymous

    most data scientists I've seen do not have the math and stat knowledge, but rather have great people's skills and aesthetic tastes, and can write a few python scripts.

    Not saying all data scientists are like this, but data science degrees are increasingly popular and often do not have strong requirements.
    The jobs themselves also, DS positions are corporate jobs only, hence people hiring data scientists are often econ graduates or the likes
    with surface level understanding of stats so it's easy to bullshit your way in, DS is peak dinning kruger, just look at those linkedin posts.

  7. 4 weeks ago
    Anonymous

    What the frick does a "data scientist" actually do?
    It's just python bullshit and making nice plots

    • 4 weeks ago
      Anonymous

      It's hard to define, but typically I go by function. Data Scientists are typically working on routine reporting functions. Think routine reports informing and predicting how much inventory you have a grocery store and how much you will have over the coming days sort of thing.

      Super routine, the process is well defined, but you can refactor parts of it easily (like refining the prediction algorithm). So think of the work associated with putting that stuff together and maintaining it and you have data scientists and data 'engineers' (who are basically just databasers). They're basically trying to provide actionable intelligence to the business or organization.

      Acting on the Intelligence brings you largely into the world of operations research (given you know and can accurately predict your stores inventory, how should you optimally organize things?).

      Analytics, which you seen thrown around a lot, is more one off focused. Think the majority of what researchers do, it's not routine reporting, it's a one of analysis on something within the business (which may grow into something routine later). Personally, I don't find data science very interesting, but some people really like providing actionable intelligence to people.

  8. 4 weeks ago
    Anonymous

    >inclination towards business operations
    I've taken a couple finance classes and I don't get how people can be excited about it. I understand being excited about most other fields, STEM or non-STEM, but I don't get finance.

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