Are you a student, researcher, or professional struggling with research design, data interpretation, or publishing quality academic work? Whether you’re working on your thesis, conducting fieldwork, or planning to publish in reputed journals, this course is your complete guide to mastering research methodology, data analysis, and data visualization using R.

In today’s competitive academic and data-driven world, just collecting data isn’t enough. You need to ask the right questions, analyze data correctly, and present findings visually and convincingly. That’s where this course helps you stand out.

You’ll learn how to confidently structure a research project, choose appropriate methods, perform statistical analysis, and tell compelling data stories using R programming—one of the most in-demand tools in research and analytics.

Designed for beginners to intermediate learners, this course avoids complex jargon and focuses on real-world application, hands-on practice, and step-by-step learning. Whether you’re in social science, agriculture, economics, public health, or any other research-based field, this course will empower you to do your work independently, without relying on expensive help.

What You’ll Learn (Course Outcomes):

• Understand the core principles of research methodology.

• Design effective research questions and hypotheses.

• Learn about sampling techniques, measurement, and data collection.

• Perform descriptive and inferential statistics using R.

• Analyze and interpret quantitative data with confidence.

• Build beautiful and clear data visualizations with ggplot2.

• Learn how to write the research report, thesis, or journal paper.

• Avoid common mistakes and follow best practices in research.