I have an pretty solid background in data analytics/ data engineering. I have 4 YOE and have worked in tech consulting and technical sales engineering. I would like to transition to Data Science or AI/ML at some point. Is it necessary to get a MS in DS? I see many people with a MS who made the transition.

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If you don’t mind sharing, what does your self learning path look like right now? I’m interested in a similar path and would love to learn more!

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I’m using Leetcode and Udemy with a focus on toolkits in Python for the different models and the math behind it. It focuses on all topics from linear regression to XG boost.

Based on my experience, no. I have a similar background as you and recently transitioned into a Software Engineering role on an AI/ML team.

Getting an MS in DS wouldn’t hurt. Also it may be beneficial if you would prefer to have more structure to your learning journey as opposed to learning everything self guided. I did the latter which comes with its own set of challenges

Yeah I’m currently on a self-learn path, it’s challenging and I worry I won’t be able to regurgitate the code without supplementation. Did you find that issue in your journey? Does it affect your work?

One big benefit of a data science program is that you likely can’t self-teach the topics you don’t realize are important. I ended up learning some methods I hadn’t heard about before in my master’s program, and applied them almost immediately into my work.

(By program- I mean a more formalized masters program with a dedicated curriculum path)

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