Applied Statistical Analysis Using R & RStudio — 3-Day Research Workshop
Online Live Workshop · Zoom

Applied Statistical Analysis Using R & RStudio for Research

Raw Data Statistical Analysis Interpretation Research Findings

Three hands-on evening sessions that take you from opening RStudio for the first time to analysing your own research data, choosing the right statistical test, and writing up results with confidence. No prior R experience needed.

📅 7–9 Oct 2026
🕖 7:00–8:30 PM IST
🎓 Certificate included
🎥 Recordings provided

Seats are limited to keep sessions hands-on. Scroll down to check the session time in your own timezone ↓

> ggplot(research_data)
n = 240p < 0.001R² = 0.81
📅 7–9 October 2026 🕖 7:00–8:30 PM IST, daily 💻 Live on Zoom 🇮🇳 ₹375 for Indian participants 🌍 $7 for foreign participants 🎓 e-Certificate for all participants 🎥 Session recordings included 📅 7–9 October 2026 🕖 7:00–8:30 PM IST, daily 💻 Live on Zoom 🇮🇳 ₹375 for Indian participants 🌍 $7 for foreign participants 🎓 e-Certificate for all participants 🎥 Session recordings included
Joining from outside India?

Check the session time in your own timezone

Sessions run 7:00–8:30 PM India Standard Time on 7, 8 & 9 October 2026. Here's what that looks like around the world — calculated for those exact dates, DST included.

🇮🇳 Actual workshop time (India, IST): 7:00 PM – 8:30 PM
Same local time window applies on 8 & 9 October. Minor one-hour shifts are possible for regions whose daylight-saving changes fall exactly during the workshop.
Starts in
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How the three evenings connect

From raw data to a finished research finding

Each day builds on the last — by Day 3 you'll take a real dataset all the way through to a written result.

01

Raw Data

Import & clean messy research data in R.

02

Statistical Analysis

Pick and run the right test for your question.

03

Interpretation

Make sense of p-values, correlation & regression output.

04

Research Findings

Report results the way journals expect to see them.

0Live evening sessions
0Topics covered
0Minutes per session
0Prior R experience needed
Who this workshop is for

Built for anyone who has to analyse research data — not just statisticians

🎓

PhD & MPhil Scholars

Analyse thesis data and defend your methodology with confidence.

🧑‍🏫

College & University Faculty

Bring hands-on R skills into your own teaching and guide research scholars.

🎒

UG & PG Students

Get a head start on dissertation or project-work statistics.

🔬

Early-Career Researchers

Move from raw survey/experiment data to a publishable result.

🏥

Health, Life & Social Sciences

Apply the right test for clinical, biological or survey-based data.

📊

Working Analysts

Add rigorous statistical testing to your existing Excel/analytics workflow.

Curriculum

What's covered across the three days

Ten topics, organised into a natural day-by-day progression.

01

Introduction to R & RStudio for Research

Interface, packages, and running your first commands.

02

Importing, Cleaning & Preparing Research Data

Bring in Excel/CSV data and get it analysis-ready.

03

Missing Values & Outlier Detection

Spot and handle problem data points correctly.

04

Descriptive & Exploratory Data Analysis

Summary statistics that tell you what you're working with.

05

Hypothesis Testing & Statistical Test Selection

Choosing the correct test for your research question.

06

Correlation & Regression Analysis

Quantify relationships and build predictive models.

07

Data Visualization

Publication-ready charts straight from your analysis.

08

Interpretation of p-Values

What significance actually does — and doesn't — tell you.

09

Case Study-Based Data Analysis

Apply everything to a real research dataset, start to finish.

10

Research Findings: Analysis, Interpretation & Reporting

Write up results the way journals and committees expect.

Resource Person

Learn from someone who teaches this every day

Dr. A. Rajini

Assistant Professor, Department of Mathematics and Statistics

Bhavan's Vivekananda College of Science, Humanities and Commerce, Sainikpuri, Secunderabad, Telangana, India. Dr. Rajini designs this workshop around real research workflows, so every technique is taught alongside the kind of messy, real-world data researchers actually bring to analysis.

Registration

Save your seat

Fee includes live sessions, hands-on datasets, an e-certificate and recordings of all three days.

🇮🇳

Indian Participant

₹375
  • All 3 live sessions (7–9 Oct)
  • Hands-on datasets & R scripts
  • e-Certificate of participation
  • Recordings of every session
Register — Indian Participant
🌍

Foreign Participant

$7
  • All 3 live sessions (7–9 Oct)
  • Hands-on datasets & R scripts
  • e-Certificate of participation
  • Recordings of every session
Register — Foreign Participant

Zoom joining link and payment instructions are shared with registered participants by email before Day 1.

Good to know

Frequently asked questions

Do I need any prior R or statistics background? +

No. The workshop starts from installing R and RStudio, so it's designed for complete beginners as well as researchers who want a structured refresher.

What if I miss a live session? +

Every session is recorded and shared with all registered participants, so you can catch up at your own pace.

Will I get a certificate? +

Yes — every registered participant who joins the workshop receives an e-certificate after the final session.

What do I need to bring? +

A laptop or a computer with R and RStudio installed (installation guidance is shared before Day 1) and a stable internet connection. A laptop is better if you'd like to follow along and practise hands-on during the live sessions — but it isn't compulsory. Since full recordings of every session are provided, you can also just watch live and practise afterwards at your own pace.

I'm outside India — how do I pay the $7 fee? +

Use the "Foreign Participant" registration button above — it takes you to the international payment option.

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