Before
recession a commercial tool was popular in the country, hence, uncertainty
around tools and technology was not much; however, after recession, incertitude
(i.e. uncertainty) around tools and technology have pre-occupied and occupying data
science learning, delivery and deployment.
When
python was continuing as general programming language, R
was the left out best choice (became more popular with the
advent of an IDE i.e. RStudio) and author still see its popularity among non-programming background
(i.e. other than computer scientists) data scientists. Yet,
author notices in local meet ups, panel discussions, webinars, still, a
clarity on which is better from aspirants towards the data sicence as a everyday interest as shown in below image.
Author undertook several projects, courses and programs in data sciences for more than a decade, views expressed here are from his industry experience. He can be reached at mavuluri.pradeep@gmail or besteconometrician@gmail.com for more details.
Find more about author at http://in.linkedin.com/in/pradeepmavuluri
Find more about author at http://in.linkedin.com/in/pradeepmavuluri
1 comment:
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