In the realm of data analysis, statistical computing and graphics techniques like linear and nonlinear modeling, time-series analysis, and clustering are important components of data analysis and R is the programming language that naturally specializes in these tools. Hence, it is no surprise that the R programming language is gaining popularity now. So, now is the time for you to start learning the R programming language at our R Programming Online Training Institute. By learning our R Programming Online Course, students will learn R programming profoundly by being at their home through rare topics and common topics as well. So, go ahead and enroll in the R Programming Online Training with certification & placements.
R Programming Online Training
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DURATION
2 Months
Mode
Live Online / Offline
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
or any other questions...
Breakdown of R Programming Online Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
December 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
December 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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Syllabus for The R Programming Online Training
Download Syllabus
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 Online Training
Download Syllabus
Our R Programming Online Training has the most up-to-date syllabus. The syllabus was curated by experts from the IT industry, who created this syllabus according to the current trends and standards in the IT industry, this makes the syllabus modern and reliable. The syllabus was also curated to serve students of all levels of experience thus, the syllabus covers topics from fundamental to advanced, some of the topics are discussed below:
- The syllabus begins with fundamental topics like, Overview of R Programming, Downloading and installing, Help of Function etc.
- The syllabus then moves a bit deeper into R Programming through topics like, Data Inputting in R, Data Types, Subsetting, Writing data etc.
- The syllabus then finally goes to advanced topics where students will learn about Data manipulation in R, Performing queries, RODBC and DBI Package etc.
Reason to choose SLA for R Programming Online 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.
Want to Speak to a Trainer about R Programming Online Training?Request a Free Callback
Highlights of The R Programming Online Training
What is R Programming?
R is an open-source programming language and environment favored by statisticians, data miners, and analysts for its extensive capabilities in statistical computing and graphics. With a rich collection of packages contributed by the community, it supports diverse statistical techniques like linear and nonlinear modeling, time-series analysis, classification, and clustering, making it a powerful tool for data analysis and visualization.
What are the reasons for learning R Programming?
The following are the reasons for learning R Programming:
- Statistical Analysis: R is great for analyzing data, like making models, testing theories, and studying relationships between variables.
- Data Visualization: With R, you can make really good visuals that show off what your data is saying, like charts and graphs.
Wide Adoption: Lots of different fields use R, like schools, companies, banks, and hospitals, so knowing it can open up lots of job opportunities.
What are the prerequisites for learning R Programming Online Training?
SLA does not demand any prerequisites for any courses as all the courses cover topics from fundamental to advanced level. However having a basic knowledge on these below topics can be beneficial in learning R Programming easily:
- Basic Computer Skills: Knowing how to use different types of computers (like Windows, macOS, or Linux) and managing files is important.
- Basic Programming Concepts: Understanding simple ideas in programming, like variables and loops, can make learning R easier.
- Mathematics and Statistics Fundamentals: Having a basic understanding of math, like adding and subtracting, and knowing some statistics helps with understanding how to use R for analyzing data.
Our R Programming Course is suitable for:
- Students
- Job Seekers
- Freshers
- IT professionals aiming to enhance their skills
- Professionals seeking career change
- Enthusiastic programmers
What are the course fees and duration?
The R Programming course fees depend on the program level (basic, intermediate, or advanced) and the course format (online or in-person).On average, the R Programming course fees come in the range of ₹25,000 to ₹30,000 INR for 2 months, inclusive of international certification. For some of the most precise and up-to-date details on fees, duration, and certified R Programming certification, kindly contact our Best Placement Training Institute in Chennai directly.
What are some of the jobs related to R Programming?
The following are some of the jobs related to R Programming:
- Data Analyst
- Data Scientist
- Statistical Analyst
- Research Analyst
What is the salary range for the position of Data Analyst?
The Data Analyst freshers salary typically with less than 1 year of experience earn approximately ₹4-5 lakhs annually. For a mid-career Data Analyst with around 3 years of experience, the average annual salary is around ₹5-6 lakhs. An experienced Data Analyst with more than 5 years of experience can anticipate an average yearly salary of around ₹8-9 lakhs. Visit SLA for more courses.
List a few real time R Programming applications.
Here are several real time R Programming applications:
- Stock Market Analysis
- Customer Segmentation
- Predictive Maintenance
- Sentiment Analysis
Who are our Trainers for The R Programming Online Training?
Our Mentors are from Top Companies like:
The following are our trainer’s profile for the R Programming Online Training:
With over a decade of professional training experience, our R Programming instructors are skilled in:
- Fundamental R Programming concepts, such as data wrangling, cleaning, exploration, manipulation, plotting, and statistics.
- Using multiple tools and packages for exploratory and predictive analytics.
- Crafting sophisticated data visualizations to highlight insights and trends.
- Delivering engaging and interactive content.
- Employing various coaching and mentoring techniques for effective learning.
- Utilizing both RStudio IDE and command line interface proficiently.
- Troubleshooting R Programming code and demonstrating problem-solving skills.
- Applying best coding practices and guiding learners with coding basics.
- Collaborating closely with students and instructors to ensure a successful learning environment.
- Designing comprehensive lecture slides, course materials, and exercises for better comprehension and retention.
- Assisting students with resume building, interview preparation, and placement activities.
Want to Speak to a Trainer about R Programming Online Training?Request a Free Callback
What Modes of Training are available for R Programming Online Training?
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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Project Practices for The R Programming Online Training
Recommendation System for E-commerce
Use R to suggest products to people based on what they’ve bought before, making shopping easier.
Natural Language Processing (NLP) for Sentiment Analysis
Use R to understand if text is positive, negative, or neutral, helping companies understand customer opinions.
Predictive Maintenance for Manufacturing
Use R to predict when machines might break down, helping factories fix things before they break.
Anomaly Detection in Network Traffic
Use R to spot unusual patterns in network data that might indicate a security problem.
Customer Churn Prediction
Predict which customers might stop using a service by looking at past data with R, helping companies keep their customers.
Web Scraping and Text Analysis
Use R to get information from websites and analyze it to understand trends or opinions.
Social Network Analysis
Use R to study social connections, finding important people and groups in networks like social media.
Time Series Forecasting for Energy Consumption
Predict future energy use by analyzing past data with R, helping plan resources effectively.
Market Basket Analysis
Use R to analyze purchase data from a store and find which items are often bought together to suggest products to customers.
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The SLA way to Become
a R Programming Online Training Expert
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
Panel Mock
Interview
Unlimited
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See More ReviewsPlacement Support for a R Programming Online 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
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FAQs for
The R Programming Online Training
How many branches does SLA have?
1.
Currently, SLA has two branches one is in Navalur, OMR and another is in K.K. Nagar.
What is special about SLA’s OMR branch?
2.
SLA’s OMR branch is located in the middle of SLA’s IT hub where there is a lot of IT companies established, so this gives SLA a lot of credibility.
What is SLA’s policy on EMI?
3.
SLA has EMI options available with 0% interest.
Does SLA have experienced trainers?
4.
Yes, SLA has trainers who are experienced in both teaching and IT.
How does SLA resolve students’ issues?
5.
SLA resolves students issues through the appointed HR officer.
What are some common data structures used in R for storing and manipulating data?
6.
R commonly uses vectors, matrices, lists, and data frames to store and work with data, each serving different purposes for efficient data organization and analysis.
How can I install and manage R packages effectively?
7.
You can install R packages with the install.packages() function, manage them using library() to load packages, and update or remove packages using update.packages() and remove.packages().
What are factors in R, and how are they useful in data analysis?
8.
Factors in R represent categorical variables, where each level stands for a different category, aiding in statistical analysis, modeling, and visualization tasks involving categorical data.
How can I handle large datasets in R efficiently?
9.
To manage large datasets efficiently in R, you can use tools like data.table and dplyr for quick data manipulation, store data in formats like Feather or Parquet for faster loading, and utilize parallel processing or distributed computing frameworks for parallelizing computations.
What are some best practices for organizing and documenting R code?
10.
Best practices for organizing and documenting R code include using clear variable names, breaking code into reusable functions, adding comments and documentation within the code, maintaining a consistent coding style, and using version control systems such as Git for code management.
Additional Information for
The R Programming Online Training
Our R Programming Online 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.
1.
Integration with Other Languages
R is being combined with languages such as Python and SQL to utilize the unique features of each for better data handling and analysis.
2.
Machine Learning and Artificial Intelligence
R is heavily involved in machine learning and AI, offering sophisticated algorithms and tools for tasks like deep learning, natural language processing, and computer vision.
3.
Big Data Analytics
R is adapting to handle large datasets by incorporating big data technologies like Apache Spark and Hadoop, enabling distributed computing for efficient analysis using packages like SparkR and sparklyr.
4.
Interactive Data Visualization
The demand for dynamic and interactive data visualization is increasing, leading to the creation of packages like Plotly, Shiny, and ggplot2 extensions, allowing users to create engaging plots and dashboards directly within R.
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