How To Use R for Research

Use R for Scientific Research

Learn R Programming for research by doing!

What you’ll learn

  • It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in research..
  • You will learn how to manipulate, import, and export data..
  • You will learn descriptive statistics, relationships, multi-correlation, ANOVA, and t-test using R for scientific research..
  • You will be proficient in basic, advanced, and animated graphs using R codes..

Course Content

  • R Programming Fundamentals –> 3 lectures • 11min.
  • Dealing with Data in R –> 4 lectures • 21min.
  • Statistics for Research in R –> 5 lectures • 24min.
  • Create Graphs for Research in R –> 3 lectures • 17min.

How To Use R for Research

Requirements

  • Basic in R programming..

Learn R Programming for research by doing!

This tutorial is my experience of many years and tens of scientific research of using R for research. After every video, you learn a new valuable concept that you can apply right away in your research. Moreover, the best part is that you learn through real examples from different subjects of research.

It helps you not only be a good practitioner but offers you an opportunity for creativity in data processing, statistics, and graph creation in scientific research because it is based on programming witch unlimited compared to software such as SPSS and Excel. The series includes types, manipulation, import, and export of data. In addition to descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It also familiarizes you with basic, advanced, and animated graphs. In addition to functions, packages, directories, and others.

I am an Assistant Professor of Remote Sensing at Soran University. GBD Collaborator at the University of Washington. I have more than 10 years of experience in Python and R programming, GEE, Big Data, Remote Sensing/GIS, Earth Observation, and Climate. I obtained Ph.D. degree in Geography (Remote Sensing) at the University of Leicester. Published more than 20 peer-reviewed researches.

At the end of the course, you will be able to:

  • Creatively processing data, performing statistics, and creating graphs in research using R.
  • Manipulate, import, and export data.
  • Perform descriptive statistics, relationships, multi-correlation, ANOVA, and t-test using R for scientific research.
  • You will be proficient in basic, advanced, and animated graphs using R codes.
  • Learn how to use R Studio for scientific resaerch.

Sincerely,

Assist. Prof. Azad Rasul

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