R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Start learning with us ACTE R Programming Classroom & Online Training Course.
R Programming is very useful for career.Careers in R programming are associated with the data science and business analytics profession. ... R programmers are a good fit for the research-oriented industry for statistical model implementation for data analysis. professionals want to upgrade their career in data science R programming is a preferred choice.
R Programming, have great scope, Scope is high Basically, R is now considered as the most popular analytic tool.R Careers offers bright jobs for any data scientist he may be any fresher or experienced. Organizations expect many of the new hires with knowledge of R and they want them to be familiar with the R tool.
Even as a fresher, you can get a job in R Programming domain. R is the name of a popular programming language that has become the tool of choice for data scientists and statisticians around the world. Companies are using analytics to predict things like pricing of their products, how much to spend on ads, whether a drug will turn out to be successful or not etc. and R is helping them analyse historical data to make these predictions.
The business analytics field has been dominated by paid tools such as SAS, Statistica and SPSS (IBM). Even though some of these tools can be very expensive (with software licenses running into millions of dollars), the value coming out of their application is far more and hence companies did not mind spending so much.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for R Programming. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Coin package in R provides various options for re-randomization and permutations based on statistical tests. When test assumptions cannot be met then this package serves as the best alternative to classical methods as it does not assume random sampling from well-defined populations.
- Knowledge of statistics theory in mathematics.
- You should have solid understanding of statistics in mathematics.
- Understanding of various type of graphs for data representation.
- Prior knowledge of any programming.
Learn R. Can someone with no programming knowledge learn “R”? The answer is yes! ... Despite not having any previous programming experience , I analyzed my first data set of more than 20,000 data points in only a couple of months.
Our course ware is designed to give a hands-on approach to the students in R Programming. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
Yes Definitely! From my point of view learning, R language has a worth to learn. R is the best programming language to perform analytical operation. The number of applications such as healthcare, finance, media use R programming to analyze their data.
Advanced R Programming takes around 1 month to master to a level so that you can start writing analytics functions.
If you have experience in any programming language, it takes 7 days to learn R programming spending at least 3 hours a day. If you are a beginner, it takes 3 weeks to learn R programming. In the second week, learn concepts like how to create, append, subset datasets, lists, join.
- Backed by a Huge, Active Community.
- Comprehensive Library Support.
- Cross-Platform Compatibility.
- Data Visualization at its Best.
- Develop Interactive, Powerful Web Apps With Shiny.
- Go-to Option for Statistical Analysis and Data Science.
- High Market Demand With High-Paying Roles.
- Major Companies Trust R.
Future Scope Of R Programming
- The continuous development of technology can be unpredictable, especially if great minds remain to come up with new ideas. Remember, most people in the past never thought of having a smartphone until it was developed.
- Of course, computer programming is part of technological development. We should take note that nature of logic will stay the same.
- The syntax or code will be the thing that gradually changes.
- Most likely coding will be easier allowing programmers to solve more problems and create sophisticated programs.
- Since there can be more programming languages in the future, more functions or blocks of code may be produced depending on the will of the computer programmers and analyst.
- Moreover, improved gadgets and gizmos and technical parts of computers will push technology more to the edge, forcing the scope of programming to scope the limitless.
- If you have the aptitude and are willing to do the work, it can be very good for you.
- As far as working for a single company your whole career, don’t count on it. I’ve been part of two companies that went out of business, been fired once, and been laid off for business reasons that had nothing to do with me. Other times, I’ve quit for a better opportunity.
- I’ve had a good career writing, selling or supporting computer software since 1985 (FORTRAN & Pascal on Vax back then—now pretty obsolete).
- I’ve adapted to new technologies as they became popular or my employers’ needs changed. You can too.
- I’ve avoided management by staying a technical consultant or a team contributor.
- I know technical people in their 50s, 60s, and 70s who rather type at a keyboard than be a manager.
- You just have to know what your worth is in the marketplace and move on when you need to.
History of R
John Chambers and his colleagues developed R at Bell Laboratories. R is an extension of the S programming language. Although, R was named partly after the first names of two R programming language authors. The project conceives in 1992, with an initial version released in 1995 and a stable beta version in 2000.
How to Install R & R Studio
There are three basic steps followed to run the R language and RStudio environment on your system.
1. Installing the R Programming Language
With respect to the operating system, follow the below-mentioned steps:
1.1 Download R for Mac
First, download the appropriate version of the .pkg file from the below site:
Further, open the downloaded .pkg file and install R.
1.2 Download R for Linux
For Ubuntu with Apt-get installed, execute sudo apt-get install r-base in terminal.
1.3 Download R for Windows
You can download the binary step file for R using the link as follows:
Open the downloaded .exe file and install R.
2. Installing the RStudio
Select the right installer file for your operating system. Afterwards, download it and then run it to install RStudio.
3. Installing R Packages
In order to use RStudio, we require a particular package to be installed. Further, follow the instructions below:
- Afterwards, click on the packages tab in the bottom-right section. Once, you complete this, click install.
- The dialog box will appear. In the install packages dialog, write the package name for which you want to install the Packages field. And then click install. This will install the package you searched for and give you a list of matching package based on your package text.
