In addition to the numerical representation and calculations of data, R can make graphical representation of data in the form of graphs, charts etc. SLA’s R programming training in OMR is a combination of specially curated rich syllabus with a very modern infrastructure, the two key essential elements of a good institute for a nurturing learning experience. Generally R programming is preferred over Python in the Data Science domain by students who have a non-IT background. Learning R can be a huge benefit to an individual as it combines numerical and visual representation of data from its inferences.
R Programming Training in OMR
4.70
(1542)
DURATION
1Month
EMI
0% Interest
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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
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Course Schedules
Course Syllabus
Course Fees
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Breakdown of R Programming Course Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
May 2024
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)
Course Fee
May 2024
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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What Modes of Training are available for R Programming?
Offline / Classroom Training
A Personalized Learning Experience with Direct Trainer Engagement!
- 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
Instructor Led Live Training! Learn at the comfort of your home
- 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
Blended Delivery model (both Online and Offline as per Clients’ requirement)
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
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Objectives of Learning R Programming Course
Download Syllabus
The amount and variety of topics covered in the R Programming training syllabus is a direct indication of how carefully curated it is keeping in mind the recent trends in the industry.
The R programming training syllabus begins with introduction to R programming language which lays the foundational knowledge on the subject and goes all the way to advanced topics like databases and statistical modeling in R. Here are some of the skills that could be acquired in our R Programming course:
- Candidates will begin the course with introduction to R programming language, so that a foundational knowledge is established.
- Candidates will then learn about concepts like data inputting, data visualization in our R programming course
- After that, the candidates will step into the statistical side of R programming language by learning the basics in statistics.
- Students will also learn all about the functions and programming in R
- Finally, the candidates will be introduced to several advanced topics like queries and databases in R and statistical modeling in R.
Reason to choose SLA for R Programming training in Chennai
Opting for SLA in Chennai offers multiple benefits. Here are some key highlights of SLA’s 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.
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Highlights of The R Programming Course
What is R Programming?
1.
R programming is a language and platform designed for statistical computing and graphics, widely used in fields like statistics, data analysis, and machine learning, offering tools for data manipulation, visualization, statistical modeling, an extensive package ecosystem, and a flexible programming environment.
What are the reasons for learning R?
2.
- Data Science and Machine Learning: Widely employed in data science and machine learning, R offers packages for predictive modeling, clustering, and classification, among others.
- Integration Capabilities: R seamlessly integrates with other programming languages and tools, facilitating smooth workflows and utilization of existing resources.
- Promoting Reproducible Research: R aids in creating scripts and reports that document data analysis workflows, ensuring transparency and reproducibility in research endeavors.
- Career Prospects: Proficiency in R programming is highly valued across industries like finance, healthcare, marketing, and technology, offering diverse career opportunities in data analysis, research, and academia.
What are the prerequisites for learning the R programming course in OMR?
3.
- Foundational Computer Skills: Proficiency in basic computer operations and familiarity with various operating systems like Windows, macOS, or Linux is crucial.
- Understanding of Statistics: Having a grasp of statistical concepts such as mean, median, mode, standard deviation, hypothesis testing, and probability theory aids in comprehending the statistical analyses conducted in R.
- Fundamentals of Programming: Prior exposure to programming concepts like variables, data types, loops, conditional statements, and functions can smoothen the learning curve for R programming.
- Mathematical Aptitude: A solid background in mathematics, encompassing algebra and calculus, proves beneficial in understanding the mathematical operations and algorithms employed in statistical computing.
- Familiarity with Data Analysis: Experience with basic data analysis concepts and techniques provides context for understanding the practical application of R in handling real-world data.
What are the course fees and duration?
4.
The R Programming in OMR fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the R programming training in OMR fees come in the range of 20,000-30,000 INR for 1 month, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and R certification courses in OMR, kindly contact our Best Software training institute in OMR Chennai directly.
What are some of the jobs related to R programming?
5.
The following are some of the jobs related to R programming:
- Data Analyst
- Data Scientist
- Statistical Analyst
- Business Intelligence Analyst
- Machine learning engineer
- Data Engineer
What is the salary range for the position of R Data analyst?
6.
As per data from AmbitionBox, the R data analysts freshers salary is approximately ₹3-4 lakhs annually. For mid-career analysts with 3-4 years of experience, the average annual salary is around ₹6 – 6.8 lakhs. An experienced R data analyst with more than 5 years of experience can anticipate an average yearly salary of ₹8.2 lakhs.
List a few real-time R programming applications.
7.
Here are several real-time R programming applications:
- Financial Analytics
- Healthcare analytics
- Social Media Analytics
- Internet of Things(IoT) Analytics
- E-commerce Analytics
Who are our Trainers for The R Programming Course?
Our Mentors are from Top Companies like:
- Our R programming certification course has very skilled R Programming Trainer with over a decade of professional training expertise.
- Our trainers are proficient in fundamental R Programming principles, encompassing data wrangling, cleaning, exploration, manipulation, plotting, and statistical analysis.
- Our trainers are well-versed in various tools and packages, adept in both exploratory and predictive analytics.
- Our trainers are experienced in crafting advanced data visualizations to illustrate insights and trends effectively.
- Our trainers ensure engaging and interactive delivery of content throughout training sessions.
- Our trainers utilize diverse coaching and mentoring techniques to ensure comprehensive understanding of concepts among learners.
- Our trainers are proficient in utilizing the RStudio IDE and command line interface.
- Our trainers are capable of troubleshooting R Programming code, rectifying errors, and demonstrating adept problem-solving skills.
- Our trainers consistently apply best practices in coding development, possessing a strong foundation in coding basics.
- Our trainers collaborate closely with students and instructors to foster a conducive learning environment, leveraging top-tier resources to enhance participant engagement and encourage self-study.
- Our trainers are skilled in designing lecture slides, course materials, and exercises aimed at reinforcing comprehension and facilitating knowledge retention.
- Our trainers will assist students with resume building, interview preparation, and various placement activities to enhance career prospects.
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Project Practices for The R Programming Course
Proactive Cybersecurity Measures
Utilizing R for real-time analysis of network traffic, detecting irregularities, identifying potential security threats, and implementing sustainable cybersecurity measures.
Telecom Network Efficiency Enhancement
Applying R for the real-time analysis of telecommunications network data, enhancing network performance, predicting equipment failures, and minimizing operational downtime.
Dynamic Online Retail Strategies
Employing R to analyze real-time online retail data, facilitating personalized product recommendations, dynamic pricing adjustments, and targeted marketing initiatives.
Smart Grid Optimization
Leveraging R for the real-time analysis of smart grid data, optimizing energy distribution, forecasting demand, and effectively managing renewable energy resources.
Real-time Credit Risk Analysis
Utilizing R to evaluate credit risk in real-time through the analysis of financial data, customer profiles, and transaction histories, aiding in prompt lending decisions.
Fraud Detection
Leveraging R for real-time detection of fraudulent activities in financial transactions, analyzing transaction data streams to detect suspicious patterns and anomalies.
Weather Forecasting
Creating weather forecasting models using R to assess current meteorological data, predict weather patterns, and issue timely alerts for severe weather conditions.
Predictive Maintenance
Employing R to develop predictive maintenance systems by analyzing live sensor data from machinery, predicting faults preemptively to minimize downtime and maintenance expenses.
Stock Market Analysis
Utilizing R to criticize live stock market data, conduct trend assessments, forecast stock prices, and pinpoint potential trading prospects
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The SLA way to Become
a R Programming Expert
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Technology Training
Coding Practices
Realtime Projects
Realtime Projects
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Aptitude Training
Interview Skills
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See More ReviewsPlacement Support for a R Programming Job
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
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Build Your Resume
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Build your GitHub
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Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
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FAQs for
The R Programming Course
How can I install R and RStudio from R programming on my computer?
1.
To install R and RStudio, follow these steps:
- Visit the CRAN website to download the appropriate R installer for your operating system, then run it to complete the installation.
- Visit the RStudio website to download the RStudio installer for your operating system, then run it to complete the installation.
- Once installed, open RStudio from your applications or programs menu.
- Verify the installation by opening RStudio and typing 1 + 1 in the console pane. If the result is 2, both R and RStudio are successfully installed.
What exactly are packages in R, and how do I install and load them?
2.
R packages in R contain functions, data, and compiled code for specific tasks, extending R’s capabilities beyond its base installation, and are installed using install.packages() from CRAN or other repositories, then loaded into R sessions using library() or require().
How can I import and export data in R?
3.
To bring data into R from diverse file formats including CSV, Excel, or text files, and databases, one can utilize functions like read.csv(), read.table(), or read_excel() from the readxl package, as well as functions from other packages such as readr or data.table. Conversely, for exporting data from R to various formats, options include leveraging functions like write.csv(), write.table(), or write.xlsx() available in packages like writexl.
What are the primary data structures in R?
4.
R’s core data structures encompass vectors, matrices, arrays, lists, and data frames, each serving distinct purposes and manipulations.
How can I go about creating data visualizations in R?
5.
To create data visualizations in R, you can utilize packages such as `ggplot2`, `plotly`, or `lattice`, which provide functions for generating various types of plots, charts, graphs, and maps. Begin by installing the desired packages with `install.packages()` and loading them into your R session using `library()`. Then, use functions like `ggplot()` from `ggplot2` to craft plots by specifying data, aesthetics, and geometric objects. Additionally, functions like `plot_ly()` from `plotly` allow interactive plotting, while `xyplot()` from `lattice` facilitates lattice plots. Experimenting with different visualization techniques and customizations tailored to your data and needs will aid in creating insightful and impactful visualizations in R.
How SLA contributes in developing the soft skills of students
6.
SLA has great communications trainers who will train students in their communication skills including spoken english, which will come in handy during their interview process.
How does the SLA address student grievances and issues?
7.
SLA has a specially designated and experienced HR personnel who will look into student grievances and issues and will address them amicably.
Does SLA provide EMI options?
8.
Yes, SLA does provide an EMI option, with 0% interest.
Is there an R programming certification course?
9.
Yes, SLA provides the best R programming certification course along with R programming online practice. SLA also happens to be the best placement training institute in Chennai.
Does SLA have a modern infrastructure?
10.
Yes, SLA provides students with modernized and computerized classrooms with monitors for trainers to explain the content, which will enhance their learning process.
Additional Information for
The R Programming Course
Our R Programming Training in OMR 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.
Data Science and Analytics
R is highly valued for its capabilities in data analysis, statistical modeling, and visualization. As data-driven decision-making becomes more crucial across industries, there’s a rising need for skilled professionals with experience in R to extract insights from large datasets.
2.
Machine Learning and AI
R boasts a diverse range of packages tailored for machine learning and AI tasks. As organizations embrace predictive modeling, classification, clustering, and other AI applications, the demand for R expertise in these areas is on the rise.
3.
Statistical Computing
R’s specialization in statistical computing makes it a preferred choice for statisticians, researchers, and analysts in various sectors like finance, healthcare, and academia. Its large collection of statistical functions and libraries caters to the needs of professionals engaged in statistical analysis and research.
4.
Open Source Community and Packages
R benefits from a thriving open-source community that continuously develops and maintains numerous packages for different analytical needs. This broad ecosystem, combined with R’s flexibility for customization, appeals to IT professionals seeking solutions for diverse data-related challenges.
5.
Interdisciplinary Applications
R’s versatility extends beyond traditional IT domains, finding applications across multiple fields such as biology, environmental science, social sciences, and finance. Its adaptability to different domains contributes to its ongoing relevance and demand in the IT industry.