Mastering Data Analysis with R

Online Course

Udemy
Mastering Data Analysis with R

What is the course about?

Mastering Data Analysis with R
The course Mastering Data Analysis with R is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Master R’s advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data

Course description
  • Mastering Data Analysis with R
  • Delve into data visualization and regression-based methods with R/RStudio.
  • Conduct independent data analyses.
  • Tackle multiple linear regression with R
  • Learn the essentials of ROC curves
  • Explore multinomial logistic regression with categorical response variables at three levels
  • This course has the following software requirements: • Lateset version of R software • Latest version of RStudio
  • This course has been tested on the following system configuration: • OS: macOS Sierra or higher or Windows 7 or higher • Processor: Dual Core 3.0 Ghz • Memory: 4GB • Hard Disk Space: 100MB
  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Mastering Data Analysis with R

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Mastering Data Analysis with R

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Mastering Data Analysis with R
provided by Udemy

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School: Udemy
Topic: Data Analysis, Data Science, Development