R Programming Course in Hyderabad
Analyse, visualise and model data with R and the tidyverse
The R Programming course teaches you to use R for data analysis, statistics and reporting. You start with R and RStudio basics, data structures and functions, then learn the tidyverse: importing data with readr, wrangling with dplyr and tidyr, working with strings, factors and dates, and visualising with ggplot2. You study descriptive statistics, probability distributions, hypothesis testing, correlation, linear and logistic regression, ANOVA and non-parametric tests, and build predictive models with tidymodels, including resampling, tuning and evaluation. Further modules cover time series forecasting, reproducible reporting with R Markdown and Quarto, interactive web apps with Shiny, working with databases and APIs, writing functions and packages, and good coding practice with Git. R is widely used in statistics, research, healthcare, pharma and academia, and the course explains where R or Python is the better choice. It suits graduates, researchers and analysts; no programming background is needed. You practise on real datasets and finish with a capstone report or Shiny app. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
R & RStudio Basics
- •Installing R and RStudio; projects and working directories
- •Objects, vectors, data types and operators
- •Installing packages, getting help and style conventions
- •Lab: Explore built-in datasets from the console
- •Outcome: Work comfortably in RStudio
Data Structures & Programming
- •Vectors, factors, lists, matrices and data frames
- •Conditions, loops and the apply family
- •Writing functions, error handling and debugging
- •Lab: Write reusable functions for data summaries
- •Outcome: Program in R beyond one-line commands
Importing & Tidying Data
- •Reading CSV, Excel and JSON data
- •Tidy data principles; pivoting with tidyr
- •Missing values, duplicates and type conversion
- •Lab: Import and tidy a messy dataset
- •Outcome: Turn raw files into tidy data
Data Wrangling with dplyr
- •dplyr verbs and the pipe
- •Grouping, summarising and window functions
- •Joins and binding data frames
- •Lab: Build a customer and sales summary
- •Outcome: Manipulate data in a readable, repeatable way
Strings, Dates & Factors
- •String handling and regular expressions with stringr
- •Dates, times and time zones with lubridate
- •Categorical variables with forcats
- •Lab: Clean names, addresses and dates
- •Outcome: Handle the messy fields in real data
Data Visualisation with ggplot2
- •Grammar of graphics: aesthetics, geoms, scales and facets
- •Themes, labels, annotations and colour palettes
- •Interactive charts with plotly and extensions
- •Lab: Create a publication-quality chart set
- •Outcome: Communicate findings visually
Descriptive Statistics & Probability
- •Descriptive statistics and distributions
- •Probability, sampling and the central limit theorem by simulation
- •Confidence intervals and the bootstrap
- •Lab: Simulate sampling distributions
- •Outcome: Understand statistical foundations
Hypothesis Testing & Inference
- •t-tests, proportion tests and chi-square tests
- •ANOVA and post-hoc comparisons; non-parametric alternatives
- •Effect sizes, power analysis and multiple testing
- •Lab: Analyse an experiment and report results
- •Outcome: Test hypotheses and report them honestly
Regression Modelling
- •Linear and multiple regression with lm
- •Logistic regression and odds ratios
- •Diagnostics, multicollinearity and tidy output with broom
- •Lab: Model a health or sales outcome and interpret results
- •Outcome: Fit, check and communicate regression models
Machine Learning with tidymodels
- •tidymodels workflow: split, recipe, model, tune and evaluate
- •Random forest, gradient boosting and regularised models
- •Cross-validation, metrics and variable importance
- •Lab: Build and tune a classification model
- •Outcome: Build predictive models with a clean workflow
Time Series Forecasting
- •Time series objects, decomposition and seasonality
- •Exponential smoothing and ARIMA with the fable package
- •Evaluating forecasts
- •Lab: Forecast monthly demand
- •Outcome: Produce and evaluate forecasts
Reporting with R Markdown & Quarto
- •R Markdown and Quarto documents, chunks and options
- •Tables with gt or kable; parameterised reports
- •Rendering to HTML, PDF and Word; reproducibility with renv
- •Lab: Build an automated analysis report
- •Outcome: Produce reproducible reports
Shiny Apps, Databases & Capstone
- •Shiny apps: UI, server and reactivity
- •Connecting to databases with DBI and calling APIs
- •Capstone: end-to-end analysis with a Quarto report or Shiny app, versioned in Git
- •Interview preparation: R and statistics questions
- •Outcome: A portfolio report or app and interview readiness
Tools Covered
Projects Included
- Sales Data Wrangling Pipeline: Clean and summarise sales data with the tidyverse; deliverable is a script and tidy dataset.
- Statistical Analysis Report: Run hypothesis tests on an experiment dataset and report in Quarto; deliverable is a reproducible report.
- Regression Case Study: Model a numeric outcome with diagnostics and interpretation; deliverable is a report with charts.
- Classification with tidymodels: Build and tune a classifier and evaluate it; deliverable is a workflow script and model summary.
- Capstone Shiny Dashboard: Build an interactive app on a real dataset; deliverable is a deployed or local Shiny app and repository.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the R Programming course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on R Programming.
Certificate of Completion
R Programming
This certifies that
[Your Name]
has successfully completed the
R Programming
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured R Programming course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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R or Python: which should I learn?
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Best R Programming Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Data Analyst (R), Statistical Programmer (entry level), Research Analyst, Biostatistics Assistant; support is guidance with the job search, not a guarantee of a job.