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I'm in the fortunate position where my company has offered to sponsor training and I'm going around in circles with learning options.

Quick intro, 10 years business experience and 3 years basic data analytics (Excel & Tableau) - we're developing our data capabilities and I'm looking to learn SQL, predictive analytics/models, python and ML.

Previously, I've always used free online learning to teach myself (Excel, Tableau, Html etc.) and never been in the position to ask for funded learning. I don't meet prerequisites for masters (stats degrees) and it feels too long of a process to do a bachelors... Boot camps have mixed reviews here. I don't want to miss the opportunity but feels like self teaching is often recommended!

What would you suggest is the best way to learn data science, if costs were covered? (UK Based)

TIA!
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Funding isn't the issue, it's time!
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Definitely don't redo a bachelor's if you already have one.

I recommend looking at Coursera, the courses are much better than Udemy in my opinion.  You can take some classes from master's programs there (not for credit, but with certificate), or you could also go for a professional certificate from a company like Google or IBM.

Also, I'm not sure about UK programs, but in the US, some online degrees have coursera courses you can take as prep for an entrance exam/proficiency test.
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I would get data camp to learn the basics. It's cheap at $30 a month and you can quickly learn enough to get yourself started on self learning. Once you feel comfortable to learn on your own, cancel your subscription and start working on projects.

Also, get on LinkedIn and follow data people. Most of them are happy to help!
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If funding is not an issue, I find remote courses with the option to be part of the class zoom call and/or watch it after the fact to be best. You get the deadlines for assignments and projects with the flexibility of watching/participating in classes.
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I would recommend a masters that you can qualify for. It might take a few extra math classes as per-requisites, but I doubt all the programs require a cs/stats/math bachelors.
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Books.
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If funding is not an issue I would absolutely recommend:

- edx: Computer Science for Web Programming Professional Certificate
- Coursera: Machine Learning Specialization
- Udacity: Machine Learning DevOps Engineer Nanodegree

Would take a little over a year I think.
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You could look at Georgia Tech's online masters
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How? Domain specific PhD and a PhD in stats related to the tools of the field and a PhD in CS related to the field…. Because why use BB guns when we have nukes?
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Honestly I think a data scientist tutor would be the best thing but that doesn't really exist and would so expensive.  Someone that can walk you through your project ideas and tell you what you need to do in each step would have been the best for me.
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