15 January 2018
Data science as such has currently no exact definition, but the best description is that it is fundamentally a multidisciplinary subject comprising distinct though overlapping fields:
As mentioned above, an exact definition of data science has yet to come. The fields above are agreed to constitute a necessary basis for a data scientist’s education. There are of course many other disciplines that are added and removed but those three are constant.
Data science is a very large field, and its goals include (among others): prediction, detection of patterns and anomalies, automating processes and decision-making, forecasting, etc.
It is important to note that there is a bit of confusion regarding the difference between data analysis and data science. So let us clarify:
Though data analysts share some of the data scientists’ skills and responsibilities concerning data, like accessing, querying, processing, summarising, visualising and reporting, (and have occasionally a similar educational background), there are some key differences however:
So in order to become a data scientist, a profession which has been called “The Sexiest Job of the 21st Century” by the Harvard Business Review, it is only natural to enroll in a Python training course, whether you're a beginner or looking for an advanced python course. Thereafter, the road to integrate Python data science is clearly marked.
If you're interested in the world of Big Data, artificial intelligence an analysis, the variety of available courses and training is wide; you'd might consider data analytics courses, or other analytics courses; you'd might consider learning Python for machine learning or even R programming.
We offer on-location, multi-level training for you and your team; contact us today.
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