I am currently working as Media Analyst with extremely great WLB and around 45k salary. Before joining current organization I was working as Business Intelligence Analyst Intern with absolutely no WLB and 40k salary at the end of which I got diagnosed with a medical condition which forced me to take my current job. Now, that I am fit and doing well. I am stuck with almost a year and half of no coding practise ( which already I was not pretty good at ) and low salary and feeling of not earning to my full potential. I am confused with what to start studying now, Data Science or DevOps. Would appreciate some honest (even if harsh) suggestions
Updated on June 30, 2025 in
HitEsh
on June 30, 2025
If you’re more drawn to systems, automation, and reliability, and want faster returns with clearer job paths, DevOps is worth serious consideration.
You’d start with:
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Linux fundamentals + scripting
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Git, Docker, CI/CD basics
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Then move into AWS, Kubernetes, Terraform, etc.
DevOps roles are in high demand and pay well, even at junior/mid levels, and the market is less flooded than DS.
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Aneesha
on June 30, 2025
If you enjoy storytelling with data, pattern-finding, and interpreting business problems, Data Science may be the natural next step — especially since you were a BI Analyst earlier.
Yes, you’re rusty now, but many others have restarted after breaks and succeeded.
Start small:
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Relearn Python, SQL, and pandas
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Do mini projects (e.g., Kaggle, real-world datasets)
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Gradually move toward ML basics, not deep theory
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Focus on communication of insights — highly valued and monetizable
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