A data scientist with a decade of experience, primarily in R, has recently begun mastering Python. After just a few days of intensive learning, they’re on track to proficiency. Now, they’re considering what technology to learn next to enhance their resume and job prospects. The criteria include broad appeal, especially for high-paying roles, and the ability to claim proficiency within one to two months. Options under consideration include big data technologies like Apache Spark or visualization tools like Tableau. The choice aims to expand their skill set and job opportunities in the data science field.
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