Whatever you find interesting/amazing/geeky is fair game. Crossposting from/to other subreddits is always encouraged! :-)
Science
Topic on Reddit
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
Whatever you find interesting/amazing/geeky is fair game. Crossposting from/to other subreddits is always encouraged! :-)
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
Whatever you find interesting/amazing/geeky is fair game. Crossposting from/to other subreddits is always encouraged! :-)
Whatever you find interesting/amazing/geeky is fair game. Crossposting from/to other subreddits is always encouraged! :-)
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
And if it's not, we'll then why isn't?
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
A space for data science professionals to engage in discussions and debates on the subject of data science.
Tldr: is fitting a Logit model on observational data and explaining the coefficients in the causal manner a terrible idea assuming the X variables aren't too crazy.
So, for context. The goal is to understand what causes store promotions work - which are driven in big part by how the executions go: perfect execution - great result vice versa. The goal is not really to tease out the influence of macro drivers on demand or micro customer level factors either. It's mostly to pin point operational breaking points and quantity them.
To learn about the operational breaking points we don't need any causal model just pure data exploration is good enough. But manager has been pushing to deliver some kind of model based analysis to provide what causes an initiative produce result. He comes from non DS background and from what I gather he just want to have some brownies points saying we ran some DS models to come up with numbers.
So with that in the background, would that be a too terrible idea to just run plain LR on the observational data and explain the coeffs like they mean causality while they don't actually and the model is riddled with tons of biases that we can point out?
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
A space for data science professionals to engage in discussions and debates on the subject of data science.
Update at the end.
I’m in the late stages of interviewing at a manufacturing company to work as a market/growth analyst. This would be my first DS role out of grad school and I’ve experienced firsthand how garbage the job market is right now.
That said, I’ve been told that the penultimate/last stage of their process is some sort of project. I honestly don’t remember entirely what the HR person told me, but something about getting 24 hours to accomplish some sort of task at the company. The interview process has already been somewhat involved, with progressively longer on-site meetings with more and more people. The job itself is 100% in-person and I’m not super excited about it, but a job is a job and right now this seems my best shot at being employed in the field.
Anyway, I’m leery of whatever this “project” is because it sounds like it could potentially be really time-consuming and basically me just doing free work for the company. Like I said, it’s hard for me to make a judgement since I don’t know all the details, so it could very well be a “here’s some data, see what you can do with it” kind of situation instead of a “we have this specific thing we need you to for us and we’re timing you.” I think the recruiter might’ve said something about it being paid, but if it is I bet it’s closer to minimum wage than not.
What would be a good approach to evaluating whether the project is reasonable or not? And would it be bad if I tried bringing it up in the current stage I’m in, asking them what they hope to accomplish by having me do a project and how it’s meant to contribute to determining my overall suitability for the role? I don’t know how set in stone this step of their hiring process is, or if it’s meant to be a surrogate for the equivalent of a technical interview or what.
TIA!
Edit:
Officially on to the "project" stage of the process. Supposedly the last step and waiting to receive an email with instructions and info. However! I did some more gleaning online and I'm seeing people who interviewed previously at this company say it was a 40 hour "Business Simulation"... So, big yikes. Doesn't look like I can afford to decline right now, but good God, what overkill. I don't know what they hope to accomplish and I suspect this is their substitute for a technical interview because, quite frankly, I don't think there's anyone there qualified to give me a technical interview since I'm applying for the first real role in data. I was going to continue looking for better options and trying to interview elsewhere even if I got this job, but I'm definitely going to now....
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
-
This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
members -
/r/EverythingScience is the sister subreddit to /r/science. With a broader rule set than /r/science, it is the place for high quality scientific content that doesn't necessarily reference a peer-reviewed paper from the last 6 months.
members -
Welcome to r/atheism, the web's largest atheist forum. All topics related to atheism, agnosticism and secular living are welcome. If you wish to learn more about atheism, please begin by reading the [FAQ](https://www.reddit.com/r/atheism/wiki/faq). If you are a theist, please be aware that proselytizing in any form is strictly prohibited. * Feel free to join our [Discord](https://discord.gg/gYPuj8R.
members -
A space for data science professionals to engage in discussions and debates on the subject of data science.
members -
This subreddit aims to provide resources for achieving better hair quality through scientific research in trichology, physiology, chemistry, and biology
members -
Whatever you find interesting/amazing/geeky is fair game. Crossposting from/to other subreddits is always encouraged! :-)
members -
members -
**It's like Ask Science, but all questions and answers are written with answers gleaned from the universe itself.** Use in-universe knowledge, rules, and common sense to answer the questions. Or as **fanlore.org** calls it [Watsonian, not a Doylist point of view](http://fanlore.org/wiki/Watsonian_vs._Doylist)
members -
A subreddit for sharing those miniature epiphanies you have that highlight the oddities within the familiar.
members -
This subreddit is for the *scientific discussion* of topics in the environmental sciences, geosciences, and other relevant discipline's; including papers, articles, research, public-policy, and both educational and professional advice.
members -
Science Fiction, or Speculative Fiction if you prefer. Fantasy too. Asimov, Bradbury, Clarke, Dick, Heinlein and other SF books. SF movies and TV shows. Fantasy stuff like Tolkien and Game of Thrones. Laser guns, space ships, and time travel. etc. Star Trek, Battlestar, Star Wars, etc.
members -
CSCareerQuestions is a community for those who are in the process of entering or are already part of the computer science field. Our goal is to help navigate and share challenges of the industry and strategies to be successful .
members -
Ask Computer Science Questions And Get Answers! This subreddit is intended for questions about topics that might be taught by a computer science department at a university.
members -
A subreddit to discuss political science. Political science is the scientific study of politics. It deals with systems of governance and power, and the analysis of political activities, political thought, political behavior, and associated constitutions and laws. Postings about current events are fine, as long as there is a political science angle. Rationality and coherent argument are encouraged, whereas ideological flamewars are strongly discouraged.
members -
You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
members -
This reddit is for fans and creators of Science Fiction and related media in any form. SF topics should involve plausible ideas reached through the rational application of science. General speculative fiction posts are fine as long as they involve Science Fiction.
members -
Here you can ask any question you have about being a scientist, what's new in a field, what's going to happen in a field, or are curious about how we got to this point.
members -
A place to ask questions related to parenting and receive answers based on science, share relevant research, and discuss theories
members -
A subreddit devoted to the field of Future(s) Studies and evidence-based speculation about the development of humanity, technology, and civilization. -------- You can also find us in the fediverse at - https://futurology.today
members -
A subreddit for women who work in, about, or around science (or would like to!) Career and scientific discussions, victory celebrations, gender politics, mentor issues, grad school, racism, sexism, bigotry and systemic bias. No unapproved surveys, doxxing*, harassment*, sealioning^, gaslighting^, demanding proof of other's lived experiences^ etc. *Instaban ^warning then ban Icon by Aleutie @ VectorStock; Banner used with artist's permission | meganlee.etsy.com
members -
r/teenagers is the biggest community forum run by teenagers for teenagers. Our subreddit is primarily for discussions and memes that an average teenager would enjoy to discuss about. We do not have any age-restriction in place but do keep in mind this is targeted for users between the ages of 13 to 19. Parents, teachers, and the like are welcomed to participate and ask any questions!
members -
members -
Memes! A way of describing cultural information being shared. An element of a culture or system of behavior that may be considered to be passed from one individual to another by nongenetic means, especially imitation.
members -
Beginner friendly community that is all about making data science simple and accessible to everyone interested.
members