VICAI Analytics, under VICAI Research Analytics and Publications LLP, presents a five-day workshop on basic statistics using R and RStudio. The programme connects statistical concepts with practical data analysis, helping participants understand how to prepare data, choose suitable methods and interpret results in relation to a research question.
Through guided demonstrations and hands-on exercises, participants will move from basic R commands to descriptive analysis, data visualisation and an introduction to statistical inference. Examples involving survey responses, income, academic performance and other research variables will make the concepts easier to understand and apply.
Who the programme is for
The workshop is designed for students, research scholars, faculty members and professionals seeking an introductory foundation in statistical analysis. No prior programming experience is required; participants should be comfortable with basic computer operations.
What the programme covers
Understanding statistics and R. Population and sample, types of variables, levels of measurement, the RStudio interface, basic commands, vectors and data frames.
Preparing and exploring data. Importing CSV and Excel files, checking data and missing values, calculating descriptive statistics, and creating suitable graphs.
Introduction to statistical inference. Hypotheses, p-values, confidence intervals and assumptions, with demonstrations of t-tests, chi-square tests and one-way ANOVA.
Examining relationships. Introduction to correlation, simple and multiple regression, and interpretation of coefficients and model output.
Applying the learning. A guided research exercise bringing together data preparation, analysis, interpretation and reporting.
Learning outcomes and preparation
By the end of the programme, participants should be able to import and summarise a dataset, create basic graphs, recognise suitable statistical tests and interpret introductory analytical output. Participants should have access to a laptop or desktop with R and RStudio installed for the practical exercises. The ten-hour programme provides a foundation for further practice and independent research analysis.
Additional Notes
Early Bird is available till November 10, 2026.
Last Date of registration is November 14, 2026.
Name provided by you will be used for generating certificate.
80 percent attendance and submission of assignment is compulsory for certificate
Sessions
Date Timings Session
Mon, 16 Nov 2026 7:00 PM – 9:00 PM Understand R and Data
Tue, 17 Nov 2026 7:00 PM – 9:00 PM Summarize and Visualize Data
Wed, 18 Nov 2026 7:00 PM – 9:00 PM Compare Two Means, Test Associations and Multiple Means
Thu, 19 Nov 2026 7:00 PM – 9:00 PM Examine Relationships and Prediction
Fri, 20 Nov 2026 7:00 PM – 9:00 PM Conduct Complete Research Analysis
