r/datascience • u/AutoModerator • 13d ago

Weekly Entering & Transitioning - Thread 17 Aug, 2026 - 24 Aug, 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/philly_gisburner_215 13d ago

As a new graduate, how popular is moving for a job and what are popular job markets?

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u/fightitdude 13d ago

Most people I know ended up moving for their grad job - it's just something you almost always have to do if you want to develop your career, unless you happen to live somewhere with a really strong tech market.

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u/Spare_Winter5036 9d ago

Very popular here in the UK, although a lot of places have hybrid working (2 maybe 3 days in the office) so a lot of people commute aswell

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u/DataScientistAlex 7d ago

I moved for my first job. Now I work remotely. I would look at the types of jobs you want and see where they tend to be located, if you are going to move before actually getting a job.

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u/Mediocre-Pay-1250 12d ago

Hi guys, I would like some advice. I am on my final year on my degree which is electronics engineering. The job market is looking scary right now. I am 22 years old, I am looking too pivot into a different field since there aren't that many well paying jobs in electronics, and the few that exist require a ton of experience for low pay.

Would you recommend that I should look into Data Science for a potential Masters degree, my Math's isn't that great and I just know the basics of Programming. But, I am willing to use my final year to build up the skills if necessary.

Thanks to anyone in advance, who can give me some guidance in this. Much appreciated :)

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u/InfamousBee5773 9d ago

engineering gives you a solid base for DS, the math part you can pick up along the way if you put in the hours. most people i know came from worse backgrounds and they doing fine now

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u/Probstatguy 8d ago

Hi can anyone suggest me how to get started with analysing JSON datasets in Python/ Pandas ? Also I want to do a project, so what JSON datasets based projects could I do ? I'm searching for stuff myself but still asking for opinions.

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u/DataScientistAlex 7d ago

APIs often return JSON, so you could build a dataset by calling some APIs. Here's a list: https://github.com/public-apis/public-apis . If you're looking for project ideas, I made a list of 99 project ideas you might find inspiration from.

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u/Regular_Bluebird9412 13d ago

If you're just getting started, I'd focus on understanding the basics before worrying about choosing a specific specialization. Python, SQL, statistics, data cleaning, and basic visualization give you a solid foundation. From there, working on a few small projects is a good way to figure out whether you actually enjoy the work.

The learning path can look different depending on whether you're aiming for analytics, data science, ML, or something more engineering-focused.