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Learn R or Python for Becoming a Data Scientist?

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Learn R or Python for Becoming a Data Scientist?

by
Ajitesh Kumar
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by
Ajitesh Kumar
·
Apr. 26, 15 · Java Zone
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Microservices! They are everywhere, or at least, the term is. When should you use a microservice architecture? What factors should be considered when making that decision? Do the benefits outweigh the costs? Why is everyone so excited about them, anyway?  Brought to you in partnership with IBM.

This article presents analysis on whether one should go for learning R or Python programming language to create one or more predictive models using different machine learning algorithms. It could be noted that both languages, R and Python, are equally doing well and are sought after by developers and the companies hiring such developers. So, you could choose either one of these languages. However, majority has voted in favour of Python for ease of learning and greater community support.

Data Scientist with expertise in R

Following indeed.com plot represents the job trends for the search term, “Data Scientist R”. It clearly indicates the trend such as increase in jobs requiring Data scientist with expertise in R programming language.

Following represents Google search trends for R programming language. It indicates an increasing trend for developers adopting R.

r_prog_pattern

Data Scientist with expertise in Python

Following plot represents the job trends for the search term, “Data Scientist Python”

Following represents Google Search Trends for Python. It shows the increasing trend in adoption of Python as a programming language. Although, it could be argued that Python programming is used for projects not related with data science, as well but one should observe that Google searches for “Python” has increased after a dip around 2011.

python_prog_pattern

Discover how the Watson team is further developing SDKs in Java, Node.js, Python, iOS, and Android to access these services and make programming easy. Brought to you in partnership with IBM.

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java ,opinion ,lifestyle ,bigdata ,languages

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