A Data Science Central Community
Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey.
We get lots of inquiries from readers asking for career advice and many of these identify as mid-career looking to switch into data science. If you’re in this group you face some of the same challenges beginners do but also some that are unique to your circumstance. Here are some thoughts and observations that may be valuable.
About You
When folks self-identify as mid-career they usually cite 10 or 20 years experience. By my way of thinking that makes you most likely 30 or 40 years old. The majority of these folks say they are involved with IT, perhaps as programmer, analyst, admin, or similar. Some are in an area of operations that is heavily data driven. Most have a bachelor’s degree but some do not. It’s you I’m thinking about in the following notes.
As you read this you may well say ‘this doesn’t apply to me, I’m different’. I am writing for the middle of the standard distribution. If you know you’re a two or three-sigma guy or gal, my hat’s off to you.
This article by Bill Vorhies has the following sections:
Click here to read the article.
DSC Resources
Popular Articles
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles
You need to be a member of AnalyticBridge to add comments!
Join AnalyticBridge