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It’s important to understand the differences between a dataengineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with bigdata. I think some of these misconceptions come from the diagrams that are used to describe data scientists and dataengineers.
Some of the common job roles requiring Python as a skill are: Data scientists . Data analyst. Softwareengineer. Machine Learning engineer. This can be attributed to the fact that Java is widely used in industries such as financial services, BigData, stock market, banking, retail, and Android.
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