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CURSO

Curso R Programming: Advanced Analytics In R For Data Science

Sobre o curso
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Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2
  • Data de publicação: 23/09/2017
  • Idioma: Inglês (EUA)
  • Plataforma: Udemy
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Ementa do Curso

  • 05 Módulos
    1. Welcome To The Course
    2. Data Preparation
    3. Lists in R
    4. "Apply" Family of Functions
    5. Bonus Lectures

Mais informações

O que aprenderei?

  • 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
  • Understand how to use the which() function
  • Know how to reset the dataframe index
  • Work with the gsub() and sub() functions for replacing strings
  • Explain why NA is a third type of logical constant
  • Deal with date-times in R
  • Convert date-times into POSIXct time format
  • Create, use, append, modify, rename, access and subset Lists in R
  • Understand when to use [] and when to use [[]] or the $ sign when working with Lists
  • Create a timeseries plot in R
  • Understand how the Apply family of functions works
  • Recreate an apply statement with a for() loop
  • Use apply() when working with matrices
  • Use lapply() and sapply() when working with lists and vectors
  • Add your own functions into apply statements
  • Nest apply(), lapply() and sapply() functions within each other
  • Use the which.max() and which.min() functions

Carga horária

  • 6 horas
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