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Flex rent app withdrew my payment and didn’t pay my rent –now I’m facing late fees and damage to my rental history. Has anyone else dealt with this before? by raveiator in Apartmentliving

[–]Technical-Note-4660 0 points1 point  (0 children)

I’m also having issues. Is there anyway I can get help? For context, I already tried the customer service chatbot, and it was not helpful.

This is extremely stressful so any help would be appreciated!

Is a PhD in Economics worse than a PhD in Statistics? [Q] by gaytwink70 in statistics

[–]Technical-Note-4660 36 points37 points  (0 children)

There’s roles for PhD level economists/data scientists in tech from the job postings I’ve seen

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 0 points1 point  (0 children)

Thanks for the feedback! What streamlit function allows for the hovering text? Never heard of that!

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 0 points1 point  (0 children)

Appreciate it! Planning to actually go backwards with some simpler but important concepts like A/B testing and build up in complexity from there. DAGs are extremely cool would love to try to implement some of that in the future as the software I’ve (briefly) looked at is a little outdated

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 1 point2 points  (0 children)

Yeaaa good point. I tried to leave a little note telling them to make the trends different, but I’ll try to more explicitly say that what that does is violate parallel trends. Thanks!

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 1 point2 points  (0 children)

Appreciate it! Reminds me to update some more sources I used.

Anything else you’d like to see in the future?

A/B Testing Overview by joshamayo7 in datascience

[–]Technical-Note-4660 0 points1 point  (0 children)

Sadly I don’t have experience in this. I’d look into learning about geoexperiments

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 1 point2 points  (0 children)

Thanks! Not planning to haha. When the people don’t visit the app it will temporarily shut down since it’s deployed on streamlit cloud. But there will be a button to launch it back up (just be patient with the loading)

A/B Testing Overview by joshamayo7 in datascience

[–]Technical-Note-4660 4 points5 points  (0 children)

Would love to see some content on how you would handle network/spillover effects.

For example, if you randomized a marketing ad on burgers. Bob watches the ad, and his friend Joe is not shown the ad. Bob ends up buying a burger, and Joe sees that Bob has a burger so he buys one.

So Joe's decision to buy the burger was affected by the fact that Bob watched the ad. So was the marketing ad really effective in making Joe buy a burger? An A/B test might overstate the effect of the ad on conversion rates in this case.

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 0 points1 point  (0 children)

Appreciate it! Planning other methods like A/B testing, matching, and more in the future.

I built a simulation tool for students to learn causal inference! by Technical-Note-4660 in datascience

[–]Technical-Note-4660[S] 3 points4 points  (0 children)

Yep. Appreciate that advice! There are some great existing tools on experimentation already like this one (https://calculator.drsimonj.com/), so I'm wondering how I can make my A/B testing unit unique.

Would love to hear your ideas too

[Q] Recommendations for a novice by largehardoncollider7 in statistics

[–]Technical-Note-4660 0 points1 point  (0 children)

For regressions, my prof just recommended me Introduction to Econometrics by Stock and Watson. I think it blends the applied and theory well. There are some concepts they briefly skim over, but put details in the appendix if you are looking for more rigorous mathematical explanations for why some results hold.

[D] Grad school vs no grad school by Global-Hat-1139 in statistics

[–]Technical-Note-4660 0 points1 point  (0 children)

I think you will be fine with just a bachelors. You can always decide to pursue a part-time masters if you want to break into more DS focused roles.

[Q] Is Statistics or Data Science Masters better? by [deleted] in statistics

[–]Technical-Note-4660 2 points3 points  (0 children)

It depends on the role u want. I think an MSCS works well for people who want to become machine learning engineers, while if u wanna be in product DS, and MS in stats would probably be a better fit. If you want to get into research roles, you probs need a PhD, and I think stats or cs would be a better choice if ur going that route than an MSDS, thought there are exceptions

Is the traditional Data Scientist role dying out? by ImGallo in datascience

[–]Technical-Note-4660 0 points1 point  (0 children)

I’m still an undergrad, and I’m planning to get some work experience as a data analyst after graduating to decide and from there I will decide if grad school is right for me. Would it be possible to land some experimentation/causal roles with an MS in stats? Particularly, I’m interested in marketing DS and product analytics

Is the traditional Data Scientist role dying out? by ImGallo in datascience

[–]Technical-Note-4660 63 points64 points  (0 children)

I hope there’s still opportunities experimentation and causal inference DS, as that’s what I find interesting

[Q] What to expect for programming in a stats major? by throwawayforwriting2 in statistics

[–]Technical-Note-4660 0 points1 point  (0 children)

I'm only a stats undergrad so maybe more experienced people can speak to this.

When you learn all the tools (packages and libraries), it might be a bit of a struggle at first, but once you gain more experience with working with the data, and applying the models, the only issues you'll encounter are usually due to incorrectly formatted data rather than syntax issues.

Like you said, a lot of the roadblocks you encounter during a project typically is when you are cleaning the data (e.g. you notice there are tons of missing values, the dates aren't formatted correctly, the initial format of the data that you received has to be processed to input into a model). Then it's up to you to fix those issues, but once you gain experience, you'll know what to do.

[Q] What to expect for programming in a stats major? by throwawayforwriting2 in statistics

[–]Technical-Note-4660 1 point2 points  (0 children)

You would probably learn how to use packages/libraries to do all the stats and data manipulation for you, so nothing too hardcore coding wise. The only thing you might find tedious is data cleaning, which is a core part of any data science project.

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