Careers in R Programming Language – Introduction
With data increasing day by day, the need for new languages for data analysis has increased. With this need, we have R programming language which is a language also provides an environment for statistical computing and graphics of data. It has a wide variety of statistical techniques like linear modeling, time and series analysis, classification, etc. They also provide graphical techniques which are extensible. It provides well designed high-quality plots which can be produced with mathematical formulas and symbols. It has a suite that combines facilities like data manipulation, calculations and a graphical display for data analysis.
Education to Introduce Careers in R Programming Language
Learning R does not require any special knowledge. To learn R you must have basic statistical and mathematical knowledge. In addition to this, if you have a basic idea about programming languages, it will be easy for you to catch up things in R faster. To make learning R easier you should get started with real-life problems and then get your code reviewed against similar problems. In addition to these, you must be having an understanding of various types of graphs for data representation. R is a complete package which can be used to analyze data using statistical theories. Hence, you must have these three skills to learn R the easy way.
- Basic statistics and mathematics knowledge
- Basic understanding of any programming language
- Knowledge of different graphs and reporting tools.
Reference: https://stackoverflow.blog/2017/05/09/introducing-stack-overflow-trends/
Career Path in R Programming Language
The above graph represents the increase in jobs for R programmers. R is the language will be in boom along with Python and Hadoop. R is being used by users ranging up to 2 million people. The careers in R programming also includes machine learning and artificial intelligence. Business intelligence is also a field which has advantages of R. Experts of trading markets can examine the trends and do research on stock markets, market dynamics, etc. Proper mathematical knowledge, financial analysis abilities, programming experience and needed for pursuing this path.
R Programming Language Job Positions
The question arises which are the various fields that are using R and making it the hot topic it is. The careers in R Programming that can lead to your ‘R’ enlightenment is as below:
- R programmer
- Data Scientist
- Data Analyst
- Data Architect
- Data Visualization Analyst
- Geo Statisticians
- Database Administrator
- Quantitative Analysis with R
R Programmer– The job of R programmer is to use their programming skills and knock down the data and create tools which can ease the process of data analysis. They use data structures such as vectors, matrices and data frames which help in quick and efficient development.
Data Scientist– This is one of the paths which is in demand for R programmers. A data scientist has the responsibility for designing and implementing layouts for large data sets, data modeling, data mining, research purposes and prediction.
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Data Analyst– A data analyst should be a mixture of technical and analytical knowledge. Data analyst should be the one who is well-versed finding, retrieving, wrangling, and delivering insights from data. In addition to this, a DA should have in-depth information regarding a database system and machine learning.
Data Architect– Many domains these days are in need of data architects. Data architects integrate and maintain their data sources. They must be in line with latest technologies like Spark to stay relevant. Also, a data architect must be aware of data warehousing solutions, database architecture, ETL and BI tools, data modeling and system development.
Data Visualization Analyst– A data visualization analyst should be able to create and distribute interactive dashboards which will give all information to make major business decisions. They provide an extensive graphical report that helps the business in predictions and making decisions that will help the business grow.
Geo Statisticians– These professionals are taking the responsibility for examining spatial and spatiotemporal datasets.
Database Administrator– A database administrator ensures that a database is available to all users that require a particular set of data. They ensure that all data has a backup and recovery mechanism. They also need to take care of data modeling, design, data security and should be well versed with the business they are involved into.
Quantitative Analysis with R– In all different domains like finance, telecom, hospitality, etc. quantitative analysis ensures that all portfolios are risk balanced and help us in finding new opportunities and evaluate all assets prices using mathematical models.
Salary
With this niche technology knowledge, it is worth that a person having knowledge of R will be very much in demand and will be getting paid as per this rare skills. The average salary of R programming job of these professionals will be as follows:
- R programmer: Average salary of R programming job is $77,722 per year. This would be around Rs 481,586 per year in India.
- Data scientist: Data is money these days. A person analyzing this data is sure to be awarded with a whopping amount of $123,000 a year on an average. Similarly, that would be Rs.620,244 per annum in India.
- Data Analyst: A data analyst can get up to an average of $69,979 per year. Indian equivalent pay for this R programming job is Rs.349,284 per year.
- Data Architect: Data architect gets paid up to $112,764 and in India it is ₹2,100,609.
- Data Visualization Analyst: Salary for this profession is $84,809
- Geo Statisticians: Roughly, this subset of R professionals get about $71,000 per year.
Career Outlook
As a result of this new and niche technology, R is surely going to be heading all data analytics languages. Programmers should be having in-depth knowledge of R studio, Eclipse, and Visual Studio. To make it easier and reachable to as many people as possible there are various online training that provides an insight to R. They start from basics of R programming and progress you to learning all language fundamentals, using all data concepts for analysis and finally expertise in R language. They also offer services in all domains which adds to its extensible. All major companies, as a result, are encouraging their staff to be well acquainted with R and are looking for building an expertise with it.This why Careers in R Programming are beneficial in today’s world due to its day to day growing importance.
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