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Grammar edit (#24635)

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added a verb, I think It's better.
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2018-12-12 17:26:53 +02:00
committed by Manish Giri
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guide/english/data-science-tools/index.md
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@ -9,7 +9,7 @@ Data scientists are inquisitive and often seek out new tools that help them find
What is great about data science is that there are numerous pathways to becoming a data scientist. You don't have to have a degree in computer science or mathematics. With subject matter expertise, such as business, biostatistics, geography or political science, you can acquire the skills to use data science in multiple ways. There are a plethora of online resources, boot camps and local meetups where you can immerse yourself in the data science community (see resources below).
There are a few tools that you can start learning to get into data science. R remains the leading tool, with 49% share, but use of the Python language is growing fast, and is approaching the popularity of R. RapidMiner remains the most popular general Data Science platform. Big Data tools used by almost 40%, and Deep Learning usage doubles.
There are a few tools that you can start learning to get into data science. R remains the leading tool, with 49% share, but use of the Python language is growing fast, and is approaching the popularity of R. RapidMiner remains the most popular general Data Science platform. Big Data tools are used by almost 40%, and Deep Learning usage doubles.
Data Science is OSEMN (**O**btain, **S**crub, **M**odel, i**N**terpret) the Data.