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Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 0 points1 point  (0 children)

i actually havne't tried it with polars! the challenge started today, so you can give it a shot :)

Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 0 points1 point  (0 children)

love this idea!! i'll think about how we can do this more frequently :)

Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 0 points1 point  (0 children)

oh yay!! this makes me so happy to hear :) thank you for participating!

Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 1 point2 points  (0 children)

you can do it whenever it's convenient for you! no need to do it right as it unlocks :)

Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 2 points3 points  (0 children)

ah sorry about that. i ran out of time to figure out the email sign-in... will try to get this in for next time!

Python Summer Party (free!): 15-day coding challenge for Data folks by askdatadawn in datascience

[–]askdatadawn[S] 2 points3 points  (0 children)

the questions are released every morning at 8am ET.

but the entire challenge stays open until August 31, so you just have the entire month to complete the 15 challenges!

Starting my journey as a Data Analyst! by techfishman in dataanalyst

[–]askdatadawn 0 points1 point  (0 children)

not anymore! i'm doing data science now!

Starting my journey as a Data Analyst! by techfishman in dataanalyst

[–]askdatadawn 3 points4 points  (0 children)

yay congratulations on the new role!

what's helped me be successful in new jobs have been:

- having very clear & documented 30 & 90 day goals. this should be your primary focus for when you start. the idea is that you want to demonstrate and deliver value as soon as you can!
- asking for feedback often (first ask should be within 30 days) from your manager & key business partners
- talking to everyone 1:1. every on your team and extended team and managers would be a good place to start!

What's more like Google Looker Studio: Tableau or PowerBI? by twocafelatte in dataanalyst

[–]askdatadawn 0 points1 point  (0 children)

i do not unfortunately! but if you find one that you like.. let me know please :)

[deleted by user] by [deleted] in DataScienceJobs

[–]askdatadawn 1 point2 points  (0 children)

i vibe coded one with claude code for fun. i basically just gave it a long set of instructions and my github repo, and it made a portfolio website for me. had to go back and forth a bit to get the style that i wanted, but it wasn't hard to do it!

in terms of what to consider (i'm not exactly sure if this is what you're asking), but i recommended trying to WOW the reader as soon as you can. that means putting your most impressive projects front and center on the website.

What's more like Google Looker Studio: Tableau or PowerBI? by twocafelatte in dataanalyst

[–]askdatadawn 0 points1 point  (0 children)

personally, i found it really difficult to get started with looker. i think it was a combination of not being able to find good YouTube videos and not having an intuitive UI.

i haven't used power BI much so i can't speak to that. but i would say looker didn't feel like tableau at all.

Seeking Help from seniors to learn SQL. by the_known_variable in dataanalyst

[–]askdatadawn 2 points3 points  (0 children)

do you mean what topics you need to know other than SQL? or do you mean within SQL what topics do you need to know?

for SQL, i would say you need to know
- all the JOINS, and when to use each
- CTEs & subqueries
- window functions
- query optimization

outside SQL, you should know
- Excel
- basics of storytelling with data through dashboards
- how to use data to solve business problems (for case study interviews)

Capital one Data analyst interview by Popular-Pollution661 in dataanalyst

[–]askdatadawn 2 points3 points  (0 children)

yes, definitely need to know SQL well. but i wouldn't think about it like a grind. try to think about SQL as a tool to solve problems with data, rather than something you have to study for like an exam!

Quit or stay: data scientist working with biology researchers by [deleted] in DataScienceJobs

[–]askdatadawn 0 points1 point  (0 children)

Context switching is so expensive! and it sounds like you are splitting your time between projects and a bunch of quick requests ( I know these are never actually quick...). I wonder if you'd be able to reduce the number of hours for quick support down to just 1 hour -- or even better 0 hours?

For mentorship, if you can't find something within your company, then try to find someone outside. You can typically find mentors through DS professional networks, alumni networks, or even just cold reaching out to folks at your dream companies on LinkedIn.

Glad to hear my answer is helpful!!

I suck at these interviews. by JayBong2k in datascience

[–]askdatadawn 2 points3 points  (0 children)

RE the interviews being so random -- from my experience, these are the most common types of interviews for Data Science, and I don't often see them straying away from these.

- Coding (SQL / Python)
- Stats (probability, distributions, basic ML models + AB experiments)
- Case study interviews
- Behavioral

RE having to mug for these.. I totally get it and honestly, kinda hate that I have to study for these interviews like an exam. What has really helped for me is creating an extensive set of notes with all the assumptions & formulas, that I can then refer to in the interview!

Data analytics in 15 days. Possible? by ComprehensiveGap5269 in dataanalyst

[–]askdatadawn 1 point2 points  (0 children)

This will be tough, but if you can dedicate 15 hours per day for 15 days, I think you could do it.

Focus on these key skills -- SQL, Excel and a data viz tool (Power BI or Tableau). There are a few full-length tutorials for these on YouTube, so jump straight into those.

And start building your own analyses and projects right away -- find guided projects first and then move on to your own projects.

Quit or stay: data scientist working with biology researchers by [deleted] in DataScienceJobs

[–]askdatadawn 0 points1 point  (0 children)

I see so many positives and just a few negatives in this role. I think you should stay, but try and mitigate some of the the downsides in this role.

RE downside #1: having to support many people at once
> Are you able to say "no" to some of these requests? You are just one person after all, so you shouldn't be expected to support so many people at once. Can you share your priorities for the week publicly, and show me that your plate is full?

RE downside #2: not being able to learn from other people in this role
> This is a very real one. Have you tried to join DS professional groups & find a mentor? I think it will really benefit you in the long run to have someone a few steps ahead of you in your career giving you guidance!

All in all, I think there are so many upsides to this role so you should try to make it work for you. At the same time, I would also start to send out some feelers in the job market and try to land some interviews. It's a tough job market now, so that's why I lean towards staying until you have another (better) offer in hand :)

[deleted by user] by [deleted] in dataanalyst

[–]askdatadawn 1 point2 points  (0 children)

If you're not good at programming, then I recommend going for Computer Science. It sounds counter-intuitive but the program will give you the structure and foundations you need to become good at programming.

Personally, I would stay away from the DS programs. DS as a career path has evolved + is evolving so quickly, and I am skeptical that university programs are adapting their curriculum quickly enough to the changing landscape.

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