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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)