R PROGRAMMING: ADVANCED ANALYTICS IN R FOR DATA SCIENCE

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R PROGRAMMING: ADVANCED ANALYTICS IN R FOR DATA SCIENCE

R Programing: In this course you will learn everything about R Programming and Learn how to take your R And R Studio skills to the next level and data analytics or data science & statistical analysis in Business with GGPLOT2.

Created By: Kirill Eremenko

Last Updated: 12/2016

English

What will you learn in this course ?

  • You will learn how to Perform Data Preparation in R.
  • You will learn Identify missing records in dataframes.
  • You will learn how to Locate missing data in your dataframes.
  • You will learn how to Apply the Median Imputation method to replace missing records.
  • You will learn how to Apply the Factual Analysis method to replace missing records.
  • Learn and Understand that how to use the which() function.
  • Learn and Know how to reset the dataframe index.
  • You will learn and Work with the gsub() & sub() functions for replacing strings.
  • You will learn and Explain why NA is a third type of logical constant.
  • You will learn and Create, use, append, modify, rename, access & subset Lists in R.
  • You will learn how to Create a timeseries plot in R.
  • You will learn and Recreate an apply statement with a for() loop.
  • Learn how to Use and apply() when working with matrices.
  • You will learn and Use the which.max() & which.min() functions.

Requirements=>

  • In this course you will need the basic requirements of R Programming.
  • You will need the knowledge of the GGPLOT2.
  • You will need little knowledge of data-frames.
  • You will need knowledge of factorized operations & vectors.
Who is the target audience?
  • Anyone who has knowledge about R programming.
  • Anyone who has already completed  R programming from A to Z.
  • Anyone who is beginners in R than this course is not for him/her.

Size: 1.48G

https://www.udemy.com/r-analytics/.

 

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