Build your confidence in data analysis and research with this beginner-friendly yet comprehensive training program. Whether you’re starting from scratch or looking to upgrade your analytical skills, this course is designed to guide you step-by-step.

What You’ll Learn

Day 1: Introduction to R and RStudio
Day 2: Vectors, Factors, and Basic Data Structures
Day 3: Data Frames and Tibbles (Tidyverse)
Day 4: Data Manipulation with dplyr — Part 1
Day 5: Data Manipulation with dplyr — Part 2
Day 6: Data Cleaning and Transformation
Day 7: Exploratory Data Analysis (EDA) with ggplot2 — Part 1
Day 8: EDA with ggplot2 — Part 2
Day 9: Statistical Summaries and Hypothesis Testing
Day 10: Correlation and Regression Analysis
Day 11: Advanced Regression Techniques
Day 12: Advanced Tidyverse for Data Wrangling
Day 13: Time Series Analysis
Day 14: Clustering and Unsupervised Learning
Day 15: Final Project & Best Practices

Program Highlights:

— 15 live interactive classes
— Learn R and RStudio from day one
— Strong foundation in vectors, factors, and essential data structures
— Hands-on training using Tidyverse tools
— Structured dplyr workflow for effective data manipulation
— Practical experience in data cleaning and transformation
— Visual data exploration with ggplot2
— Learn summaries, hypothesis testing, t-tests, ANOVA
— Perform correlation and regression (simple, multiple, advanced)
— Work with advanced Tidyverse packages for efficient wrangling
— Introduction to time series and clustering techniques
— Final real-world project with guided best practices
— Suitable for beginners to intermediate learners
— Real datasets, interactive sessions, and class recordings
— Certificate upon completion
— Special awards for top participants (65%+ attendance)

— General Participants: 4000BDT (𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗱𝗶𝘀𝗰𝗼𝘂𝗻𝘁𝗲𝗱 𝗙𝗲𝗲𝘀— 1990 𝗕𝗗𝗧)
— Members of Any Research Society: 4000BDT (𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗱𝗶𝘀𝗰𝗼𝘂𝗻𝘁𝗲𝗱 𝗙𝗲𝗲𝘀— 990 𝗕𝗗𝗧)

Registration Deadline: December 14, 2025

After payment, fill out our registration form here: https://forms.gle/sih5e64ZxPgDcgwt6

Payment Options: 
— 01917558417 (Personal — Bkash & Nagad)
[Please include <<𝐘𝐎𝐔𝐑 𝐅𝐔𝐋𝐋 𝐍𝐀𝐌𝐄>> in the reference section.]

After payment, fill out the registration form to secure your spot.

#Limited seats available. First come, first served.