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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
McKinsey & Company Any advice to help prepare for data science analyst role at top consulting firms (McKinsey & Company EY Boston Consulting Group etc)? Any materials, open source platform recommended to take on freelance data science project? When should I start actively looking and applying? I am a new grad who is working in tech as a marketing analyst I’m looking to pivot to marketing& sales data science consulting next year. Would like someone with similar backgrounds offer some practical tips.
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What are your weaknesses in them?
Also just FYI even in non Covid times you might have half your interviews on GVC. 3 of my 4 were, people’s locations ranging from Dublin to SF.
I've interviewed at Google, in person, in their actual campus and two of the six interviews were over hangouts in a conference room.
Two recommendations: identify and prep for your weaknesses ahead of time. With Covid it's even more critical that you can demonstrate you can get around doing things virtually/remotely. Even if you will be a software engineer, most of your interactions and planning activities will be virtual for a while.
Secondly, be frank about what makes you "a bit" uncomfortable in a virtual session but the go the extra mile to show the effort that you put in overcoming whatever what was.