Are you good at statistics and wanted to enter the IT field? Here is a tremendous opportunity to jumpstart your data science career with our R programming training. You can work in fastest-growing fields like data mining, bioinformatics, or data analytics by learning our R programming course. Earn industry-accredited R programming certification and enjoy placement assistance by enrolling at SLA, the best R programming training institute.
R Programming Training
DURATION
2 Months
Mode
Live Online / Offline
EMI
0% Interest
Let's take the first step to becoming an expert in R Programming Training
100% Placement
Assurance

What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
Want more details about R Programming Training?
Course Schedules
Course Syllabus
Course Fees
or any other questions...
Breakdown of R Programming Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2025
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
April 2025
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Save up to 20% in your Course Fee on our Job Seeker Course Series
Syllabus of R Programming Training
Module: 1 R Introduction
- Overview of R Programming
- Downloading and installing
- Help of Function
- Viewing documentation
- General issues in R
- Package Management
Module: 2 Data Inputting in R
- Data Types
- Subsetting
- Writing data
- Reading from csv files
- Creating a vector and vector operation
- Initializing data frame
- Control structure
- Re-directing R Output
Module: 3 Data Visualization
- Creating bar chart and dot plot
- Creating histogram and box plot
- Plotting with base graphics
- Plotting and coloring in R
Module: 4 Basic Statistic
- Computing Basic Statistics
- Comparing means of two samples
- Testing a proportion
- Data Munging Basics
Module: 5 Functions and Programming in R
- Flow control: For loop
- If condition
- Debugging tools
Module: 6 Data manipulation in R
- List Management
- Data Transformation
- Merging Data Frames
- Outlier Detection
- Combining multiple vectors
Module: 7 R an Database
- Performing queries
- RODBC and DBI Package
- Advanced Data handling
- Combined and restructuring data frames
Statistical Modelling in R
- Logical Regression
- Hierarchical Clustering PCA for Dimensionality Reduction
Objectives of Learning R Programming Training
The objectives of learning R programming training include
- Proficiency with the syntax of the R programming language
- Utilize R programming for data processing and purification, statistical analysis, and hypothesis testing.
- Familiarity with a variety of R data visualization tools
- Familiarity with developing R machine learning and prediction models
Reason to choose SLA for R Programming Training
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Highlights of The R Programming Training
What is R programming?
R programming is a well-liked technology for machine learning, data visualization, and statistical research. For statistical modeling and data manipulation, it offers an extensive toolkit.
What are the reasons for learning R programming?
Learning R programming is beneficial for several reasons:
- Open-source: R is open source and free to use; no license is needed.
- Platform-independent: R is flexible and does not rely on any particular operating system.
- Huge community: The statistical community in R is very helpful.
- Packages: You may download more than 10,000 packages for R from the CRAN repositories, and new packages are uploaded on a regular basis.
- Data visualization: It is a crucial component of data science, and R is a useful tool for this process.
- Statistics: R is still the programming language of choice for many statisticians, having been created by statisticians for statistical analysis.
- Machine learning: With its features and packages for tasks like regression and classification, R is also helpful in this area.
What are the prerequisites for learning R programming?
The following is advised before learning R programming, even though there are no particular prerequisites:
- Basic programming concepts
- Familiarity with data analysis and statistical principles
- Mathematical and probability theory knowledge
- Basic experience with spreadsheets and data sets
Our R Programming course is suitable for:
- Students
- Professionals seeking a career change
- IT professionals aiming to enhance their skills
- Enthusiastic programmers
- Job Seekers
What are the course fees and duration?
Our R programming training cost is ranging from 25,000 INR, with potential variations based on the course level (basic, intermediate, or advanced) and format (online or in person). Generally, the R Programming course duration is approximately 2 months and includes certification upon completion. For accurate details concerning fees, duration, and certification, we suggest reaching out to our R programming training institute directly.
What are some job roles related to R programming?
Proficiency in R programming can lead to a multitude of job options across multiple industries. Jobs involving R programming include:
- Data Analyst
- Statistical Analyst
- Data Scientist
- Machine Learning Engineer
- Bioinformatics Analyst
What is the salary range for a R programmer?
The average annual salary for a fresh R programming developer with less than three years of experience is ₹3.8 lakhs. An average R programming developer with 4-6 years of experience earns ₹12.8 lakhs a year, whereas an experienced R programming developer with 10–20 years earns ₹30 lakhs.
List a few R-programming real-time applications.
Typical real-time uses for R programming include the following:
- Data streaming and processing
- Dashboard and Visualization
- Web scraping and API calls
- Financial Analysis and Trading
- Machine Learning Inference
Who are our Trainers for R Programming Training?
Our Mentors are from Top Companies like:
- Our R programming trainers have over 10 years of expertise in the development and training industry.
- They understand the basic concepts of R programming, such as charting, statistics, data exploration and manipulation, data cleaning, and data wrangling.
- They have experience with both exploratory and predictive analytics and are well-versed in a variety of tools and packages.
- They have expertise creating intricate data visualizations that highlight patterns and insights.
- They see to it that all information is presented in an interesting and participatory way.
- To make sure the students comprehend the material, they employ a variety of coaching and mentoring strategies.
- They know how to use the command line interface and the RStudio IDE.
- They collaborate closely with teachers and students to provide a productive learning environment, and they make use of top-notch tools to pique participants’ interest and promote independent study.
What Modes of Training are available for R Programming Training?
Offline / Classroom Training
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Project Practices for R Programming Training
Forecasting Time Series
Create models with ARIMA or Prophet techniques to forecast future patterns in time series data.
Finding Insurance Fraud
Create models that use past data, trends, and anomalies to detect fraudulent claims.
Client Division
Segment bank clients according to their risk profiles, transactions, and behavior to provide individualized services.
Credit Scoring
To determine an individual’s or business’s creditworthiness, create a credit scoring model by utilizing machine learning approaches.
Time Series Analysis of Anomalies
Create models that identify outliers or anomalies in time series data, such as server logs or sensor readings.
Disease Outbreaks Finding
To investigate the transmission of disease, pinpoint risk factors, and assess interventions, analyze epidemiological data.
Analysis of Energy Consumption
Analyze trends in energy use to find areas where money can be saved and energy can be conserved.
Modeling the Marketing Mix
Examine the effects of marketing initiatives on sales and consumer behavior, including price, promotions, and advertising.
Athletic Analytics
Use sports data analysis to make predictions, acquire insights, and improve team tactics.
The SLA way to Become
a R Programming Training Expert
Enrollment
Technology Training
Realtime Projects
Placement Training
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement Support for a R Programming Training
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
FAQs for
R Programming Training
What is R programming?
1.
The programming language R is used for data visualization and statistical computing. Bioinformatics, data mining, and data analysis are among the fields that have adopted it.
What is R programming used for?
2.
The most popular uses of the R language are in statistical computing and data analysis. It works well as a tool for machine learning algorithms as well. Because of its skills for data cleansing, importing, and visualization, R is very useful for experts in data science.
Is R difficult to learn?
3.
R has a vast command set and a syntax that differs greatly from other programming languages like Python, making it one of the more challenging languages to learn.
Is R programming in demand?
4.
Though at a different rate than those with Python expertise, R programmers are also in demand. Candidates may submit applications for jobs as data administrators, data scientists, data architects, and data analysts.
How long does it take to learn R programming for a beginner?
5.
It will take a beginner 45 to 60 hours to pick up the basics of R programming. To grasp most R programming code, one must invest that much time in learning.
Where is R programming used?
6.
R is rarely used outside of the data science field. It is one of the two most widely used languages in data science, along with Python. Different kinds of data scientists are more likely to be drawn to R than Python.
What happens if I miss a R programming course session?
7.
SLA trainers promise that not a single R programming training class will be missed. We will assign substitute R programming classes to those who missed the classes and gave advance notice.
I still have some questions about joining the R Programming course at SLA.
8.
Kindly contact our R Programming course advisor via WhatsApp or at +91 86818 84318. As an alternative, you can contact us by chat on our website, email [email protected], or through our contact form.
How can the placement team at SLA help us with the R programming course?
9.
The SLA placement team provides all-encompassing support to enhance your career prospects. SLA includes the following premium services in our placement assistance along with R programming training:
- Creating a CV
- Career guidance and counseling
- Practice speaking with others.
- Job fairs
What are the possible payment methods at SLA for R training?
10.
We take cash, credit cards (Visa, Maestro, Mastercard), Netbanking, and other major payment options for R training at SLA.
Additional Information for
R Programming Training
Our R Programming Training has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates. Our R Programming course syllabus will teach you topics that no other institute will teach. Enroll in our R Programming training to explore some innovative Top project ideas for the R Programming Course.
1.
Future Prospects of R Programming
It is anticipated that R programming will have a bright future filled with plenty of work prospects. It is extensively utilized in machine learning, statistical analysis, and data science.
- Data science: Because of R’s ability to clean, import, and visualize data, it is a useful tool for professionals in the field.
- Clinical trials: R programming is anticipated to continue developing in this field, with potential advancements in accuracy and efficiency.
- Software development: Employment growth for software engineers is predicted to reach 22% in the near future.
2.
Important R Programming Features
- Comprehensive Statistical Analysis
- Advanced Data Visualization
- Extensive Packages and Libraries
- Open Source and Free
- Platform Independence
- Integration with Other Languages
- Powerful Data Handling and Storage
- Robust Community and Support
3.
R Programming Certification Value
Gaining an R programming certification might help you stand out in a crowded employment market and increase your appeal to companies. It might also result in better pay and chances for advancement in one’s work.
- Skills demonstration: An R certification attests to your possession of the know-how required for the position.
- Credibility: Adding a degree to your LinkedIn profile, CV, or resume can help you establish the credibility you need to take on bigger projects, greater responsibility, and higher pay.
- Marketability: Your marketability will increase with your R programming certificate in almost any industry.