R for Researchers: From Basics to Advanced Analysis

Be taught R Programming for analysis by doing!

This tutorial is my expertise of a few years and tens of scientific analysis of utilizing R for analysis. After each video, you study a brand new priceless idea you can apply straight away in your analysis. Furthermore, the very best half is that you simply study by means of actual examples from completely different topics of analysis.

It helps you not solely be a superb practitioner however affords you a chance for creativity in knowledge processing, statistics, and graph creation in scientific analysis as a result of it’s primarily based on programming which limitless in comparison with software program similar to SPSS and Excel. The collection contains sorts, manipulation, import, and export of knowledge. Along with descriptive statistics, relationship, multi correlation, ANOVA, and t-test. It additionally familiarizes you with fundamental, superior, and animated graphs. Along with capabilities, packages, directories, and others.

I’m an Assistant Professor of Distant Sensing at Soran College. GBD Collaborator on the College of Washington. I’ve greater than 10 years of expertise in Python and R programming, GEE, Large Information, Distant Sensing/GIS, Earth Remark, and Local weather. I obtained Ph.D. diploma in Geography (Distant Sensing) on the College of Leicester. Printed round 30 peer-reviewed papers.

On the finish of the course, it is possible for you to to:

• Creatively processing knowledge, performing statistics, and creating graphs in analysis utilizing R.
• Manipulate, import, and export knowledge.
• Carry out descriptive statistics, relationships, multi-correlation, ANOVA, and t-test utilizing R for scientific analysis.
• You may be proficient in fundamental, superior, and animated graphs utilizing R codes.
• Discover ways to use R Studio for scientific analysis.

Sincerely,

Help. Prof. Azad Rasul