The second phase of digital transformation is upon us and companies are investing more and more in hiring the right talent for business transformation. They are willing to pay top money for the right technical certifications. At the top of the toolbox pyramid is programming knowledge and proficiency in handling large datasets.
As a programming language that can crunch and analyze data at a high speed, “R” is the ultimate lingua franca for managing Big Data in a real-time environment. It has emerged as a wonder-software that has invaded the research space and become the last word in visualization. Today, R is used in disciplines ranging from data analysis, geospatial, statistical and finance, to other developer environments.
Whether you are a graduate in engineering or statistics, have certifications in data science or analytics, knowledge of R software is a must to get ahead in your chosen career. With companies adopting R for their immense capabilities, R training has become the latest addition to the programming arsenal of IT practitioners and software professionals. A wide range of data users like data scientists, analytics professionals, researchers, geosciences practitioners, statisticians, quants and corporate executives, are thus adding R training to their learning path and career goals.
An Introduction to R Programming
The R statistical software is an open-source, free to download and modify, interactive programming language. For the newbie programmer, the R framework of software facilities offers easy execution of codes for sophisticated data handling, manipulation, and graphical display.
R has a statistical underpinning and a graphical UI that supports the processing of large datasets. Its platform independence, vibrant community support, hundreds of packages for wide-ranging applications, makes it a powerful programming language with endless possibilities. Is it any wonder why companies and organizations across industry verticals prefer R programming skills in their hiring decisions?
Why learn R Programming?
Today, companies and research institutions are collecting more and more data, even as they integrate cutting-edge technologies to understand their customers. The capability of R in handling large datasets together with instant data visualization has made it the de facto practice in data science and academic research. Besides, its support for machine learning and several areas of scientific computing has opened up diverse career choices for the one who has mastered R programming. With R being a preferred language for analytical environments, organizations are fast adopting R for their data-driven decisions.
Here are some reasons why to learn R programming:
- The Future of Analysis is R
Data analysis and visualization are the most powerful elements in helping businesses understand their KPIs and customer satisfaction indices. The community-supported packages in R are expanding every day for powerful analysis across unlimited use cases and industry applications.
The popularity of R is soaring year by year. It has witnessed a phenomenal jump in the TIOBE Index rankings of the most popular programming language, climbing from the 18th position in 2020 to the 9th in 2021. Sure and most certain, R is here to stay and emerge as a frontrunner for analysis.
- R has compelling capabilities
You can crunch data at high speeds, send data from client to server and back using the ‘shiny ’package for instance, and use it in various computing environments. Besides, being the ultimate statistical analysis kit for data science, it offers a powerful way to clean huge data sets in less time.
- It has high adaptability
The collection of numerous libraries make R adaptable for use in any type of statistical analysis, econometric modeling, interactive web application building, maps and graphics creation, GIS mapping, and spatial data handling. And the applications keep adding, finding newer applications across multiple domains!
- Most in-demand language in the hiring landscape
Almost all leading IT companies use R for analysis and forecasts. Data scientist and spatial analyst hirers prioritize professionals with R programming knowledge. Consulting firms, financial institutions, insurance players, research institutions, and even media organizations hire R Programmers.
- Another feather in your cap
Whether you are an existing Python or Java expert, you need proficiency in different languages to be able to use the right one for a given task. Adding R to your toolbox makes you more employable, as companies prefer multiple programming language skills. Knowledge of R programming makes it possible for you to transform it into other languages for add-on functionalities.
Familiarity with R programming also broadens the job market, as you can apply for job roles and industry uses that match your interests, like social media, healthcare, eCommerce, weather forecasting, or even election analysis!
Top Industries and Companies using R
As technologies continue to disrupt businesses and the demand for big data analysis rises, R programming has emerged as a sought-after skill.
Let us explore some of the industries where R programming is in high demand and which are the companies using R.
Analytics
- AbsolutData
- A.C. Nielsen
- Accenture
- Capgemini
- Fractal Analytics
- Genpact
- MuSigma
- SIBIA Analytics
- Smart Cube
Consulting
- Capgemini
- Deloitte Consulting
- PriceWaterhouseCoopers
- The Boston Consulting Group
Ecommerce
- Amazon
- Flipkart
Financial/Fintech/Insurance
- American Express
- Bajaj Allianz Insurance
- Bharti AXA Insurance
- Barclays bank
- Citibank
- Fidelity
- Goldman Sach
- HSBC
- JP Morgan
- Oracle Financial Services
- Paytm
- Lloyds Banking
- Morgan Stanley
Healthcare/Clinical/Pharmaceutical
- Merck
- Novartis
- Roche
Manufacturing
- Ford Motors
Others
- Ride-sharing app – Uber
- Real estate hub – Trulia
- Media – New York Times
- Travel marketplace – Airbnb
Social Media Platforms
- FourSquare
Technology/IT
- Accenture
- Capgemini
- Cognizant
- HCL Technologies
- HP
- IBM
- Infosys
- L&T Infotech
- Microsoft
- NIIT Tech
- TCS
- Tech Mahindra
- Wipro
Jobs that use R programming
- Big Data Analysis
- Big Data Statistical Modelling
- Big Data Visualization
- Business Analytics
- Credit Risk Modelling
- Customer behavior Analysis
- Data Mining
- Data Science
- Exploratory Data Analysis
- Geoscience/Geotechnical Analysis
- Market Research
- Quant Analysis
- Quantitative Analysis
- Semantic Clustering and Visualization
- Statistical Analysis and Modelling
- User Behaviour analysis
Bottom line
Enroll for an easy-to-learn R training course. Explore the software that has taken the world of academia and corporate by storm and watch your career take-off.
