R Programming: Advanced Analytics In R For Data Science

R Programming: Advanced Analytics In R For Data Science Download

R Programming: Advanced Analytics In R For Data Science Download

R Programming, Take the R & R Studio Skills To The Next Level. Data Analytics, Data Sciences, Business Statistical Analysis, ggplot2

What you will learn
  • Preparation Perform Data in R
  • Identify missing records in data frames
  • Searching for the missing data in your data frames
  • Applying the median imputation method to replace the missing records
  • Applying the Factual Analysis method to replace the missing records
  • Understanding how to use the () function
  • Know how to reset the index data frame
  • Working with sub () and sub () function to replace string
  • Explain why NA is the third type of logical constant
  • Dealing with dates and times in R
  • Convert date-time format time to POSIXct
  • Make, use, append, modify, rename, and Access Lists section in the R
Requirements
  • basic knowledge of R
  • Knowledge of ggplot2 package recommended
  • Knowledge of data frames
  • Knowledge of vector and vectorized operations
Description

Ready to take your R Programming skills to the next level?

Want to really become proficient at Data Science and Analytics with R?

This course is for you!

professional training R Video, a unique dataset that is designed with many years of industry experience in mind, interesting exercises that are both fun and also provide a sense of REAL WORLD Analytics.

In this course you will learn:
  • How to prepare data for analysis in R
  • How to perform a median imputation method in R
  • How to work with dates and times in R
  • List of What and how to use it
  • What is the function of the family Apply
  • How to use apply (), apply () and apply () instead of loops
  • How to nest your own functions in implementing the type of function
  • How to apply nest (), apply () and apply () function in each other
  • And many more!

The more you learn the better you will get. After each module, you will already have a strong set of skills to take with you to your data science careers.

Who this course is for:
  • Anyone who has knowledge of the basic R and want to take their skills to the next level
  • Anyone who has completed the R Programming A-Z of course
  • Of course, this is not for complete beginners in R

Created by Kirill Eremenko, SuperDataScience Team
English
English, French [Auto-generated], 5 more
1.18 GB

DOWNLOAD [Google Drive]

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