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I have been a data analyst for three years. I’ve got advanced Excel skills and R Programming skills, intermediate SQL skills and recently completed Datacamp’s intermediate Python course. My goal is to become a Data Scientist. Am I ready/experienced enough to go for the Data Science role or should I be looking at Junior Data Scientist/Senior Data Analyst roles? All my experience is in the energy industry looking at data on a national (GB) balancing level Databricks Shell Google Amazon Glassdoor
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Please evaluate this initial offer for Apple ICT3. I think I was low balled, but I want to take more opinions. Currently Sr. MTS at VMware, received Apple ICT3. I was expecting to get to ICT4 but seems like team thinks upper end of ICT3 is more apt. Also, I think it is because I don’t have any counter offers yet.
Received offer
Base: 185k
Sign on: 40k
RSU: 160k/4 years (Here is where I think it is low)
Location: Cupertino,CA
Current TC
229k
YOE: 3.5 years US / 6.5 overall(similar roles)
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I look through Microsoft Learn, Coursera, Udemy, and youtube for learning and ideally I find a course where I can actually have some hands-on experience in doing something and not just reading about it or watching a video on it. Have you been on any of those or try different ways to learn things?
Setup a lab for yourself. First lesson: decide on your platform. You want to use VMs. Windows is popular, but maybe you want to use Linux. Plan on learning both.
On Windows, you can use the native HyperV or maybe VirtualBox. Linux can use VB too.
Then you can create a many VMs as your kit will allow. Install OS, Docker, Network them, create servers and clients, make them mail hosts or whatever you want.
That's how I did it ten years ago before there was so much free vendor training. AWS and MS have good stuff that I believe includes hands-on practice at the command line and for the various admin dashboards.
On the job.