R is insanely popular.
On a 2016 KDNuggets survey, 49% of the respondents mentioned using R for their analytics projects. This made it the most popular software tool for data related tasks.
At DataCamp we were curious to see which industry gives the highest wage to people with R skills. Using salary data from Payscale, we compared the median salary across different industries for professionals with R skills (2,306 US participants). Note, the differences in median salary for each industry are not only tied to R skills, but also industry specific trends that affect wages.
Healthcare - $65,920
On average, a healthcare professional with R skills earns the least compared to the other industries we looked at. If you choose for a career in this area, you can expect to earn a median salary of $65,920. This amount does go up if you work as a researcher or biostatistician in pharmaceutical and biotechnology companies with salaries ranging from $70,000 to over $100,000.
Consulting - $70,172
As their clients’ needs have grown more complex, firms like McKinsey, BCG, PwC, Deloitte and more have embraced the use of R. According to PayScale, R users in the consulting industry can expect to earn an average of $70,172.
So if you combine solid R skills with a high degree of business acumen, you might want to consider entering the consultancy industry.
Marketing, Advertising, and Media - $73,919
Marketing has been fundamentally transformed by the emergence of data science technologies. Both small and large players make use of R to perform tasks like user segmentation, price optimization, personalized recommendations, etc. R skills are in demand, and entering this industry means a median salary of $73,919 per year.
Technology - $82,434
Software development companies like Microsoft, Google, and IBM make heavy use of R. Whether it’s optimizing software performance, building a machine learning model to automate a process, or visualizing data - the use of R can be seen throughout these organizations.
Traditionally, working in the software industry brings you into a higher pay scale. This is certainly true for R developers where they earn a median salary of $82,434.
Financial Services - $86,753
The financial services industry has embraced R for quantitative research. Analysts and portfolio managers can leverage R to optimize portfolios, manage risk and increase return for their clients.
While you should not immediately expect to life the live of Jordan Belfort in the Wolf of Wall Street, the finance industry tops our list with a median salary of $86,753.
- R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results
- Payscale Salary Data for R Skills by Industry
About DataCamp for Groups
DataCamp is the first online learning platform that focuses on building the best learning experience specifically for Data Science. We have trained over 470,000 (aspiring) data scientists in over 150 countries.
We have partnerships with both companies (Microsoft, Kaggle, RStudio, etc. ) and professors from best-in-class academic institutions (Princeton, Duke and University of Washington). Our courses are developed with best-in-class instructors from the R and Python community including Hadley Wickham, Max Kuhn, Matt Dowle, and more!
DataCamp for Groups is the most scalable, cost efficient way for managers to train and educate their analytics and data science teams. It allows managers to set assignments based on specific learning goals, monitor progress, and evaluate performance - all in one simple dashboard. For $250/seat/year your team will get access to over 350 video and 1200 interactive exercises, totalling over 120 hours of engaging content covering every step of the data science workflow. This is 5x more R and Python focused data science content than other sites like Lynda.com at a fraction of the cost of live instructors and in-person training. Our interactive courses see completion rates that are 6x higher than traditional online classes meaning your team will be engaged and motivated to complete their training.
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