R Programming for Data Science Trainer

Job Title: Visiting Faculty R Programming

Location: Pune (On-campus Abasaheb Garware College)

Position Type: Visiting / Part-Time

Target Audience: B.Sc. Data Science Students

Course Duration: 60 Hours (Delivered Across a Semester)

Course Overview

This course introduces students to R Programming for Data Analysis, focusing on developing strong practical skills in data manipulation, statistical analysis, and visualization using R.

Students will learn how to work with datasets, perform exploratory data analysis, apply statistical techniques, and communicate insights using visualizations. The course emphasizes hands-on coding sessions, real datasets, and analytical thinking.

By the end of the course, students should be able to import, clean, analyze, visualize, and interpret data using R programming tools and libraries.

Teaching Approach

Strong emphasis will be placed on:

• Hands-on coding sessions in every class
• Working with real-world datasets
• Structured data analysis workflows
• Building strong analytical thinking skills
• Practical assignments and mini-projects

Key Topics to Be Taught

Introduction to R Programming

Data Manipulation

Exploratory Data Analysis

Data Visualization

Statistical Analysis with R

Applied Data Analysis

Ideal Candidate Profile

• Postgraduate degree in Statistics, Data Science, Mathematics, Computer Science, or related field
• Strong hands-on experience with R Programming for data analysis
• Familiarity with RStudio and commonly used packages (dplyr, tidyr, ggplot2)
• Experience working with data analysis or statistical modeling projects
• Prior teaching, training, or mentoring experience preferred
• Ability to explain programming concepts clearly to beginner-level students

Commitment & Delivery Format

• Total Duration: 60 hours per semester
• Weekly Teaching Load: Approximately 68 hours
• Mode:On-campus teaching in Pune (Garware College)
• Faculty may also be required to:
• Prepare assignments and coding exercises
• Design practice datasets and case studies
• Support internal assessments and project evaluation

What We Value Most

• Hands-on teaching with live coding demonstrations
• Clear and structured explanation of programming concepts
• Use of real datasets and practical exercises
• Student engagement and mentorship
• Focus on building practical data analysis skills

How to Apply

Interested candidates may send their resume to [Confidential Information] or apply directly through the platform where this position is listed.