I am an R Programming instructor passionate about teaching data analysis, statistics, visualization, and programming concepts in a practical and easy-to-understand way. I help students, researchers, and professionals learn R from beginner to advanced level. Skills & Expertise
R Programming Fundamentals
Data Cleaning & Data Wrangling
Statistical Analysis
Data Visualization with ggplot2
Machine Learning Basics in R
RStudio Workflow
Report Generation with R Markdown
Tidyverse Packages
Data Import & Export
Academic & Research Support
Courses I Offer
Beginner Level
Introduction to R & RStudio
Variables, Data Types & Operators
Loops & Functions
Vectors, Lists & Data Frames
Basic Plotting
Intermediate Level
Data Analysis with dplyr
Data Visualization using ggplot2
Data Cleaning Techniques
Working with CSV & Excel Files
Statistical Testing
Advanced Level
Machine Learning in R
Predictive Modeling
Time Series Analysis
Dashboard Basics with Shiny
Research Data Analysis
Teaching Method
Live Online Classes
Step-by-Step Practical Learning
Real Project Examples
Assignments & Practice Tasks
One-to-One Support
Beginner-Friendly Explanations
Who Can Join? University Students
Research Students
Thesis Students
Data Analysis Beginners
Professionals Interested in Analytics
Software & Tools
R
RStudio
ggplot2
tidyverse
Shiny
R Markdown
Sample Topics
Data Visualization with ggplot2
Statistical Analysis in R
Data Cleaning using dplyr
Regression Analysis
Machine Learning Basics
R for Academic Research
Why Learn with Me? Easy and practical teaching style
Personalized guidance
Real-world examples
Flexible class schedule
Support for assignments and projects
Class Information
Mode: Online
Language: English / Bangla
Duration: Flexible/1hour+
Class Type: Individual or Group
Contact Information
Name: Mubasshir Ahmed, Scientist, BJRI. Email: [email protected]
Phone/WhatsApp: 01842-639393/+880 1722-901717
Facebook / LinkedIn: facebook.com/BioDataInsights
Learn R Programming from beginner to advanced with practical projects, data analysis, visualization, and machine learning. Online live classes with personalized support for students, researchers, and professionals.
(The most essential hashtag for the R community)
Data Science & Analytics
(Perfect for showing off ggplot2 creations)
Learning & Education
Niche & Community Events
(A weekly social data project in R)
(Promoting gender diversity in the R community)
(For R Shiny web apps)
