Coursera - Introduction to R Programming for Data Science

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164.31 MB | 00:08:19 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 welcome-to-introduction-to-r-programming-for-data-science (6.24 MB)
01 introduction-to-r-language (4.95 MB)
02 basic-data-types (8.44 MB)
03 math-variables-and-strings (7.11 MB)
04 r-environment (6.69 MB)
05 introduction-to-rstudio (5.47 MB)
06 writing-and-running-r-in-jupyter-notebooks (7.12 MB)
01 vectors-and-factors (8.26 MB)
02 vector-operations (7.76 MB)
03 lists (4.4 MB)
04 arrays-and-matrices (5.25 MB)
05 data-frames (6.79 MB)
01 conditions-and-loops (7.17 MB)
02 functions-in-r (9.16 MB)
03 string-operations-in-r (7.23 MB)
04 regular-expressions (7.02 MB)
05 date-format-in-r (9 MB)
06 debugging (5.33 MB)
01 reading-csv-excel-and-built-in-datasets (6.96 MB)
02 reading-text-files-in-r (4.97 MB)
03 writing-and-saving-to-files (5.06 MB)
04 http-request-and-rest-api (11.22 MB)
05 web-scraping-in-r (12.57 MB)

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