SGLearn@R Programming: Adv Analytics In R for Data Science

Online Course

Udemy
SGLearn@R Programming: Adv Analytics In R for Data Science

What is the course about?

SGLearn@R Programming: Adv Analytics In R for Data Science
The course SGLearn@R Programming: Adv Analytics In R for Data Science 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.

Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2

Course description
  • SGLearn@R Programming: Adv Analytics In R for Data Science
  • Perform Data Preparation in R
  • Identify missing records in dataframes
  • Locate missing data in your dataframes
  • Apply the Median Imputation method to replace missing records
  • Apply the Factual Analysis method to replace missing records
  • Basic knowledge of R
  • Knowledge of the GGPlot2 package is recommended
  • Knowledge of dataframes
  • Knowledge of vectors and vectorized operations
  • 6 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • SuperDataScience Singapore

Prerequisites & Facts

SGLearn@R Programming: Adv Analytics In R for Data Science

Course Topic

Development, ECMAscript, Web Development

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

SGLearn@R Programming: Adv Analytics In R for Data Science

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
SGLearn@R Programming: Adv Analytics In R for Data Science
provided by Udemy

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School: Udemy
Topic: Data Analysis, IT & Software