I’m so confused. Is it starting data science course in late 2025, for 2015 passed out with 3 years of non IT experience is a bad choice?
No, starting a data science course in late 2025 as a 2015 pass-out with non-IT experience is not a bad choice, as long as you approach it realistically. Data science is still a skill-driven field, and companies care far more about what you can do with data than when you graduated. Many professionals transition into data roles after years in non-technical domains, especially because business understanding, problem framing, and decision-making context are valuable assets in data science roles.
That said, the landscape has changed. Data science is no longer an “easy switch” or a certificate-based career move. The biggest risk isn’t your graduation year or non-IT background, but entering the field with shallow skills and unrealistic expectations. To be competitive, you’ll need strong fundamentals in Python, SQL, statistics, and hands-on project work that shows end-to-end problem solving. If you’re willing to invest time (often 12–18 months) in deep learning and portfolio building, your background won’t hold you back.
Key points to keep in mind:
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Focus on practical skills and real projects, not just course completion.
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Start with roles like Data Analyst / Junior Data Scientist / BI Analyst, not senior titles.
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Use your non-IT experience to your advantage by solving domain-relevant data problems.
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Consistency and depth matter far more than age or career gaps.
In short, it’s not a bad choice — it’s only a bad choice if done casually.
career gap is a big problem absolutely