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The methods of statistical learning have been evolved with the power of programming languages. People start to employ these learning models more conveniently now with the help of built-in algorithms and interfaces (Tabladeu, Power BI, Cloudera etc.). However, the emerging bottleneck may be data wrangling/cleaning phase of data science.

Forbes: Data scientists found that they spend most of their time massaging rather than mining or modeling data.

In fact, there is also data engineering and data scientist differences. Not all data engineers need to be good at data science but all data scientist should be good at data engineering.



More the data we have, more the understanding we get.

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