What is the work of a Data scientist?
Data scientists aren't doing the job of statistician, engineer or an analyst however a little bit of the entirety and of course, this very essence differs consistent with the organization which you choose to work with. The term Data scientist is a broader term that encompasses distinctive flavors of work. Though the real work differs consistent with the organization, the overall responsibilities of a Data Scientist include-
Data cleaning
We are aware about the reality that data is pouring from all of the corners and there are piles and piles of it being stacked in a not so smooth to apply format. A Data scientist’s work is to format this data and ensure that it obeys to a few set of policies in order that it is simple to work upon.
Data analysis
Data Analysis isn't always an easy spreadsheet program however generally working with data units which might be too huge to deal with even an excel sheet, and occasionally it could be too massive to open in a single computer. Data scientists create plots in a try and recognize those data and a story is crafted to give an explanation for the data clearly.
Modeling/Statistics
In this stage, a deep theoretical information creeps into data science to make predictions. Furthermore, Machine learning algorithms are used to provide appropriate results. The ensuing models are tweaked and evaluated to convey new functions that may reshape them to better models.
Engineering/ Prototyping
Successfully constructing accurate models for predicting is certainly top notch however there's one drawback here. Only Data scientists can recognize those models. So it is crucial that those models need to be introduced in a presentable visualization bureaucracy including a chart, an application or a metric on a dashboard so that those who aren’t data scientists also can recognize them.