From the course: Insights on Data Science: Lillian Pierson
Do you have any project management advice for analytics professionals?
From the course: Insights on Data Science: Lillian Pierson
Do you have any project management advice for analytics professionals?
- The project management advice I have for analytics professionals is to always evaluate your solution alternatives before making a start on a project. Mostly with data science projects and analytics projects, you're going to get someone's going to come to you with a problem to solve. And the first inclination is always to just start solving it, but without a thorough examination of what issues could come up or what's the most efficient way to solve it or how this could affect future projects downstream, you could put yourself in a position of wishing you had done a different approach and perhaps having to redo your project, so it's always, always, always important to sit down and analyze the problem and the potential solutions before choosing an approach. I got my project management approach from the engineering field, because in engineering you have to do alternatives analysis. It's part of any good technical report that you explored what alternative technologies are available, what are the costs of those, and support your suggestions, your recommendations.
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Contents
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What's the most practical way to acquire the skills and experience needed to become a data scientist48s
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What challenges should people be prepared to encounter?2m 9s
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What educational backgrounds lend themselves well to becoming a data scientist?40s
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What best practices do you recommend for landing a great job in data science?49s
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Do you have any project management advice for analytics professionals?1m 8s
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