Built for statistics
Means, dispersion, distributions and tests are built into the language and its packages.
Learn R to clean data, run statistics and draw clear charts with ggplot2 – from your first line of code to a complete data project.
01What is R Programming
R is a free, open-source programming language made for statistics and data analysis. It is maintained by the R Core Team and supported by thousands of add-on packages on CRAN. Most people work in RStudio, an editor that keeps code, console, plots and data side by side. With R you can import data from files and databases, clean it, calculate statistics and produce publication-quality charts.
R is widely used in research, healthcare and clinical studies, pharma, banking risk teams, market research and analytics firms. Packages such as dplyr, tidyr and ggplot2 make data work fast and readable, which is why analysts, statisticians and research scholars are often asked for R skills. It also sits comfortably alongside SQL, Excel and Python in a data team, so R users can share work easily with colleagues.
02Why learn it
Six reasons students and professionals in Vellore district pick this skill.
Means, dispersion, distributions and tests are built into the language and its packages.
ggplot2 lets you build clean, layered plots that are easy to customise.
dplyr, tidyr and stringr make filtering, reshaping and text cleaning straightforward.
R and RStudio cost nothing, so you can keep practising at home.
Universities, hospitals, pharma and clinical research teams use R heavily.
You learn to pull data from MySQL into R for analysis.
03Who can learn
Put your statistics coursework into practice with real code.
Add a data-focused language to your programming skills.
Analyse survey and experiment data and draw charts for papers.
Move into data analysis roles using a practical tool.
Work with clinical, lab and public health data.
Automate reports and analysis you now do by hand in Excel.
04Levels & syllabus
1 programme on one page. Pick a level to see its modules and every topic covered.
Beginners and graduates who want a 40-hour start in R for data handling, charts and basic statistics.
05Your next step
There is one 40-hour level on this page. After it, Data Analytics, Power BI or SQL are good next steps for reporting roles, while Data Science or Machine Learning suit those who want to go deeper into modelling.
Start here. Core tools, workflow and a practice project.
Industry-style exercises, advanced features and a portfolio project.
Complete programmes that combine several tools and a capstone project.
06Hands-on
You learn by making real deliverables – reviewed by your trainer before certification.
Import a CSV of sales, clean it with dplyr and summarise results by month and region.
Calculate mean, median, mode, range and standard deviation for survey responses.
Build a set of bar, line, box and histogram plots for a single dataset with consistent styling.
Pull records from MySQL into R and produce summary tables and charts.
Solve a real-world data problem end to end, from import to charts and conclusions.
Get the full syllabus PDF, current fee, offers and the next batch date on WhatsApp – usually within minutes during centre hours.
07Careers
Roles that list this skill in Indian job postings.
Cleans data and prepares summaries and charts for business teams.
Writes R code to analyse study data and produce tables.
Analyses experiment and survey data for academic or clinical projects.
Automates recurring reports and charts from company data.
Uses data to explain trends and support decisions.
Analyses consumer surveys and tracks market trends.
Supports healthcare and pharma teams with statistical analysis.
Indicative ranges for India; pay varies by company, city, skills and experience. Figures in lakh per annum (LPA).
Examples of well-known companies and sectors in India that use these skills. They are not CareerKraft partners or recruiters.
Clean data, run basic statistics and prepare charts.
Own recurring analysis and reports for a team or client.
Handle complex studies and review others' code.
Build models and guide analysis projects, after further training.
Placements

Service Lab Assistant
Metric Measurement Technologies
Proficient in AutoCAD Electrical
Intern
Aptagrim Consulting Pvt. Ltd, Hyderabad
Master Program in Software Development
Teacher
Springdays CBSE School, Vellore
Course on Python
Associate Networker, Intern
Selfmade Ecom Pvt. Ltd, Rinex
08How you learn
Same syllabus and certificate in every mode. Your counsellor confirms the mode based on trainer availability for your batch.
Learn in our labs at Katpadi, Vellore or Ranipet with your trainer beside you and classmates to build with.
Live sessions from home with the same syllabus, projects and certificate. Good if you cannot travel every day.
Lab days plus online sessions around college or work. The mode depends on trainer availability for your batch.
On completing a level and its project assessment, you receive the course certificate of the Livewire network, issued through CareerKraft as the authorised training partner.
Weekday, weekend and fast-track batches within centre hours (Mon–Sat 9:30 AM – 6:30 PM · Sun 9:00 AM – 2:00 PM). Ask for the next start date at your centre.
The fee depends on the level and mode. Your counsellor shares the current fee, offers and EMI options on WhatsApp.
Structured syllabi and certificates from the CADD Centre, Livewire and SynergySBS networks.
Hands-on lab work and a project assessed before you are certified.
Industry-experienced trainers and batches small enough to ask questions.
Resume help, mock interviews and job leads when you are ready – no false promises.
11Where to learn
Same syllabus, trainer standard and certificate at every centre. Tap the centre you want.
Near Aascars Cinemas, Katpadi
Livewire Katpadi
Near Raja Theatre, Vellore
Livewire Vellore
Near SBI, Muthukadai, Ranipet
Livewire Ranipet
09FAQ
12 answers about levels, duration, eligibility, certificate, placement support and fees.
Still have a question? The counsellor at the centre you prefer replies on WhatsApp.
Ask on WhatsAppR is a free programming language for statistics, data analysis and charts. It is usually used inside RStudio with packages such as ggplot2 and dplyr.
Statistics, maths, computer science, commerce, life science and research students, as well as working professionals, can join. No earlier coding is needed.
The Course on R Programming is 40 hours. It runs from R basics through visualisation, packages, statistics, databases and a project.
There is one level. Take it to learn R, then consider Data Analytics, Data Science or Machine Learning for the next step.
Yes. You can learn in the classroom, online or in hybrid mode, depending on trainer availability.
Ask the counsellor at your chosen centre on WhatsApp about a demo session.
Yes. You receive a course completion certificate from the training partner through CareerKraft.
Yes. Placement support covers resume help, mock interviews and job leads. We do not guarantee a job.
The counsellor at your chosen centre will share the current fee, offers and EMI options on WhatsApp.
Classroom students can use centre systems. For online study any recent laptop can run R and RStudio, which are free to install.
R is used in analytics, research, healthcare and finance. Freshers usually start around ₹2.5–4.5 LPA, with higher pay in metros and with SQL or Python added.
The course runs at Katpadi, Vellore and Ranipet. Hours are Monday to Saturday 9:30 am–6:30 pm and Sunday 9:00 am–2:00 pm.
10Keep exploring
Turn raw Excel, database and cloud data into clear Tableau charts, maps and dashboards that help people make decisions.
Learn statistics, R or Python, machine learning, text mining, forecasting and SQL to find answers in real data.
Learn to write real Python programs – from variables and loops to OOP, databases, GUIs and web apps – with hands-on projects.
Learn SQL on Microsoft SQL Server to create databases, store and update data, and write queries and joins that answer real business questions.
Turn raw Excel sheets and database tables into clean, interactive Power BI dashboards that managers actually use.
Learn the statistics and algorithms behind machine learning, and build classification, regression, clustering and neural-network models in Python and R.
Build a strong programming foundation in C – from variables and loops to pointers, memory management, GCC and make files.
Learn object-oriented programming in C++ – classes, inheritance, polymorphism, the STL and exceptions – and build a real project.
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