About R Programming Online Training
R is a free, open-source statistical analysis language and program and it is also an alternative to expensive commercial statistics software for analytics. R is invented for statisticians by statisticians, so it would elegant fulfill all your needs as a statistician. A code written in R language is feasible to any user. So if there is a minor change to your task requires only a minor change to code with a minor amount of time. Graphics should be pivotal to data analysis. R is also a very malleable language that can be used for a variety of purposes like cleaning the data, forecasting, creating mind-blowing visualizations, interactive plots and many more.
What is R?
R ultimately established to be an inexpensive, Custom-Made, and inflatable statistical analysis solution. If you want to easily deploy your data and present it in compelling ways, R is the tool for you. R is more than that, though — it also includes immense powerful graphics capabilities. The “programming” part of it means that you need to complete your task using programming not with many mouse clicks like commercial software do. R has lots of packages/libraries that contain numerous helpful functions that you can employ for your own use. Daily packages have been creating and it publishes in CRAN Website. R has a stated intention of lifting non-programmers into programming through its structure, one that highly appreciates seeing the benefits of programming in performing calculations to user liking. It does vast variety of basic to advanced statistical and powerful graphics capabilities. Given its individuality, R has become the preferred computing environment for a large part of the statistical community. When a new statistical method is launched, chances are it will be enforced first in R.
What are the course objectives?
R is considered as an abundance who are all getting into the analytics field. Without require any web development skill, R makes to build interactive web applications (apps) straight from R without any supplementary visualization tool. Contrasted to a commercial product, interactive plots are possible in R. R offers a bright job anticipate for any data scientist – novice or experienced. Every year, the number of R users enlarges by 40% and a number of organizations are using it in their day-to-day activities. Leading company foresee many of the new hires to formerly be armed with the knowledge of R. They want them to be customized with the R tool and how to use it for data analysis.
Who should do this course?
This course is suggested for all those novices and specialists who are keen on working in the analytics industry. R is suitable for all IT professionals like Big data analytics, Business analytics, scientific research, statistical reporting, Econometrics, social science, business intelligence, and business development. Researchers who perform data analysis with higher dimensional graphs. Students who need R for their courses.
Prerequisite: It is not necessary to have any prior knowledge of R.
R is now well thought out to be not just the most popular open-source analytic tool but the most popular analytics tool in the world
Job Opportunity for R Programming?
There is always an adequate job opportunity for R programming. We will provide guidance to get placed in analytics. Programmers with R skills are commanding whooping remuneration. R programmers are compensated better than any other programmers. Not only for experts, but there is also insufficiency in analytics for professionals with R programming skills. So it is amenable for Fresher into this field once they are competent in R.
Course Duration Information
The class duration for R programming is around 25 hours. Classes opted for both weekdays and weekends. Classes will have around 90 Mins if you prefer to take in Weekday Batch (Monday –Friday).Minimum of 2 hours 30 mins for weekend Batch (Saturday and Sunday)
What you'll learn from this course?
- Introduction to R
- Understanding R data structure
- Importing data
- Manipulating Data
- Using functions in R
- R Programming
- Charts and Plots
Upcoming Batches for R Programming Training
Our R Programming Online Course gives students the opportunity to take classes on your flexible timings. Choose from a number of batches as per your convenience. If you got something urgent to do, reschedule your batch for a later time. The classes can be attended to at any place and at any time as per your choice.
R Programming Training Syllabus
Introduction to R
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R Studio Overview
Understanding R data structure
- Variables in R
- Data frames
- Cbind,Rbind, attach and detach functions in R
- Getting a subset of Data
- Missing values
- Converting between vector types
- Reading Tabular Data files
- Reading CSV files
- Importing data from excel
- Loading and storing data with a clipboard
- Accessing database
- Saving in R data
- Loading R data objects
- Writing data to file
- Writing text and output from analyses to file
- Selecting rows/observations
- Rounding Number
- Creating string from a variable
- Search and Replace a String or Number
- Selecting columns/fields
- Merging data
- Relabeling the column names
- Data sorting
- Data aggregation
- Finding and removing duplicate records
Using functions in R
- Apply Function Family
- Commonly used Mathematical Functions
- Commonly used Summary Functions
- Commonly used String Functions
- User-defined functions
- local and global variable
- Working with dates
- While loop
- If loop
- For loop
- Arithmetic operations
Charts and Plots
- Box plot
- Pie graph
- Line chart
- Developing graphs
- Cover all the current trending packages for Graphs
Are you Looking for Customized Syllabus
We are also providing customized syllabus to the students according to their needs and projects requirements for the consRequest a Call
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If you are in dilemma to choose a course, we are having experts in counselling team to help you with perfect projection of your career.
Own Course Materials
We have every course material to understand which is prepared by our trainers and we will share with you after session completes.
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R Programming Exams & Certification
GangBoard Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at GangBoard is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
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At the end of our course, you will be work on a real-time project. Once you completed your assigned project with expected results we (Experts Team from Gang Board) will verify and issue R Developer Certificate, which is a distinct recognition to mention in resume. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project. Because of programming language there is no certification in R. At the end of class we will contribute some content ourselves though packages in R itself. From that, you can test yourself how much tenacious in R.
R Porgramming Training Reviews
Activity from April 20184.8
Activity from Last Year1596 Reviews
GangBoard Total Reviews in all Medium21,596 Reviews
Having successfully taken this course (and passed), I can say this course was very useful and interesting for me. The assignments and problem sets are quite challenging at times, but I did find it very satisfying once I had solved them. They are also nice in that they are based upon real problems that R is perfect for solving.
Finally a great introduction to R course! Good for both beginners and intermediate level looking for a refresher on R. Very clear instruction.
It is the best course for non-programmers who are wishing to start their Data Science carrier using an R Programming language as a tool.
This is a good Primer for R Programming . I liked this and am able to achieve a distinction with 100% grade. I am interested in other relevant courses in the Data Scientist domain.
This course is quite good. The programming assignment is clear. but could be more interactive. Finally, I satisfied with my course. Thanks.