In the UK, I’m beginning my third year of a four-year integrated MSci in Economics.
Time series, web scraping, and machine learning are some of the modules and courses I’ve been selecting that have an emphasis on econometrics and data science.
In addition to coding in R and Jupyter Notebooks, I’ve previously done some statistics and econometrics. This year, I’ll be starting SQL. Is this a solid basis for pursuing a career in data science, or would you suggest an alternative route?
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Yes, without a doubt. I’m a data science director majoring in economics. I believe that IT skills are overemphasized. Technology is not the goal itself, but rather the means to it in 99 percent of circumstances. The ideal option is always to do it cheaper or easier. The ability to think critically is significantly more crucial. Every endeavor begins with me asking, “Why are we doing this?” The response is frequently that we don’t have to. Zero effort and cost were used to fix the problem. Many tech-focused individuals will leap to the most entertaining/complex answer right away.
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I agree. The most important thing in my opinion is to have a strong theoretical foundation in statistics and maths. Being good at SQL and Python is also important though.
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Agreed. If you’re smart and educated you can learn whatever you need. Tech changes over time.
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tempted to pay for an award for this…
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I totally agree with you on that … 