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

What youll learn:

✔ 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

Note:
This course will be sent via Google Drive.
Please provide us with your Gmail after payment.
Thank you.

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