From the post about the CRISP-DM we know what phases a data science project consist of. This post analyzes the time spend on the different tasks. I refer to the "Data Science Survey" of Rexer Analytics from 2015.
- The top application areas are Marketing, Academics, Finance, Technology, Medical, Retail, Internet-based, Government and Manufacturing.
- Data scientists work above all as corporate employees, consultants, academics or vendors.
- Data scientists have a high job satisfaction level.
- The biggest challenges are the rising data analysis complexity and data visualization.
- The most frequently used algorithms are regression algorithms, decision trees and cluster analysis, the main tool is R.
- There is also an impressive list of alternative job titles provided, so apart from data scientists, you can also call yourself data analyst, researcher, business analyst, data miner, statistican, predictive modeler, computer scientist, engineer, software developer.
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