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[Udemy] How To Use R for Research

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Deal Score0
100% OFF Get Course

What you’ll learn

  • It helps you not solely be an excellent practitioner however presents you a chance for creativity in knowledge processing, statistics, and graph creation in analysis.
  • You’ll discover ways to manipulate, import, and export knowledge.
  • You’ll study descriptive statistics, relationships, multi-correlation, ANOVA, and t-test utilizing R for scientific analysis.
  • You’ll be proficient in fundamental, superior, and animated graphs utilizing R codes.

Requirements

  • No programming expertise wanted.

Description

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 useful idea you can apply straight away in your analysis. Furthermore, the most effective half is that you just study by way of actual examples from totally different topics of analysis.

It helps you not solely be an excellent practitioner however presents 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 akin to SPSS and Excel. The sequence 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 features, 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, Huge Knowledge, 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’ll be proficient in fundamental, superior, and animated graphs utilizing R codes.
  • Discover ways to use R Studio for scientific analysis.

Who this course is for:

  • Researchers and college students who’re making an attempt to effectively use R programming for their scientific analysis.

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