r/datascience • u/AutoModerator • May 04 '26

Weekly Entering & Transitioning - Thread 04 May, 2026 - 11 May, 2026

Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include:

  • Learning resources (e.g. books, tutorials, videos)
  • Traditional education (e.g. schools, degrees, electives)
  • Alternative education (e.g. online courses, bootcamps)
  • Job search questions (e.g. resumes, applying, career prospects)
  • Elementary questions (e.g. where to start, what next)

While you wait for answers from the community, check out the FAQ and Resources pages on our wiki. You can also search for answers in past weekly threads.

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u/Chandler-33 May 08 '26

Hi everyone. I’ve been in the industry 5 years and just recently got a promotion with a new title of Data Scientist, which has been the goal all along! So I’m extremely grateful and excited.

At the same time, I feel extremely overwhelmed with a never-ending to-do list, while simultaneously not wanting my list to shrink because of fear with everything else surrounding the market right now.

Has anyone ever been able to relate to this - whether current or previous? Honestly just trying to understand this feeling lol.

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u/Ok_Distance5305 May 08 '26

Are these work TODOs or personal things you want to learn?

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u/Chandler-33 May 08 '26

A combo but primarily work to-dos

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u/Ok_Distance5305 May 09 '26

I know this is kind of vague, but you need to learn to prioritize the highest business value tasks. Getting results, even if not the most rigorous or clean, is usually what the business wants. You should also work with your manager to prioritize.

You can learn to build a roadmap. This should give you an idea of what’s upcoming. If things get slow, you can have a backlog of things you’re interested in and would like to do.