📌 Overview
- Learn R syntax, operators, and data structures
- Explore data cleaning, manipulation & visualization
- Work with ggplot2, dplyr, tidyr & caret
- Apply R in data science, statistics & ML
🎯 Who is this for?
- Beginners with zero R experience
- Students & professionals aiming for data roles
- Analysts wanting to level-up visualization skills
📅 Duration & Mode
- 1.5 Months — Intensive (Weekend/Weekday batches available)
- Live mentor-led sessions + recorded content
- Capstone industry project & placement support
Job Openings
High demand in analytics, data science, and research worldwide.
Annual Salary
₹5 LPA – ₹12 LPA in India, $60K – $120K globally.
Global Demand
R is widely used in academia, data science, AI, and statistical modeling.
📖 Syllabus
- Overview of R & RStudio — installation & workflow
- R syntax, operators, variables
- Data types: vectors, matrices, lists, factors
- Importing & exporting CSV, Excel, and RDS
- Data frames, tibbles, and lists
- Data cleaning: missing values, type conversion
- dplyr verbs: select, filter, mutate, summarise, arrange
- Base R plotting: scatter, bar, line charts
- ggplot2 grammar: aesthetics, geoms, facets
- Advanced plots: themes, annotations, interactive via plotly
- Descriptive statistics & exploratory analysis
- Hypothesis testing: t-tests, chi-square tests
- Correlation, covariance, linear regression basics
- Supervised learning: classification & regression
- Unsupervised learning: clustering, PCA
- Model evaluation, cross-validation & tuning (caret)
- Build a Data Analytics Dashboard (end-to-end)
- Use dplyr, ggplot2 & caret on a real dataset
- Mentor review, deployment tips & presentation