Free - R Programming For Absolute Beginners/Python for beginners/Python Programming Tutorial For The Absolute Beginner - Udemy

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Lysander on 11/07/2021 - 10:42 udemy.com (1333 clicks)

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Some more decent free programming courses on Udemy. Grab them while free - only for another day or two.

R Programming For Absolute Beginners Code: FORESEEN

Python for beginners - Learn all the basics of python Code: 6C655456BFA870677893

Python Programming Tutorial For The Absolute Beginner + Code Code: PLEASE-REVIEW-5STARS

Enjoy!

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  9hcpz on 11/07/2021 - 10:47

  -3

  Paired with the SEO job here
  https://www.ozbargain.com.au/node/637217
  Nice future buddy

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  incipient on 11/07/2021 - 10:47

  +11

  R! The programming language of pirates.

  Bugger jv is contagious…

  • 

    gimli on 11/07/2021 - 12:25

    +2

    JV delta variant?

  • 

    Gandalf the Thrifty on 11/07/2021 - 16:45

    +1

    If you being jv need more bold and YouTube links

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  PleasureMe on 11/07/2021 - 12:28

  +2

  “You purchased this course on May. 02, 2021”

  Thanks for the reminder, but likely I’ll still never get around to doing this or the other 100 Udemy courses I have enrolled in.

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  Jtag04 on 11/07/2021 - 12:38

  +2

  Oh man, that guy's voice (in the r programming course)

  • 

    poposhh on 12/07/2021 - 08:50

    Way too soothing?

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  bazingaa on 11/07/2021 - 17:13

  +1

  You purchased this course on Aug. 12, 2020

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  Bliss point on 11/07/2021 - 17:19

  +11

  I teach R as part of my job and I don't think people should take this course. Looking though the course structure, it's all about base R - i.e. none of the modern packages which make R good and accessible to most people. It teaches many things like arrays (n-dimensional matrices) and built-in charts which you will never use. It also teaches some things you shouldn't use like for loops (use applys instead unless you know what you're doing). Here's some alternate free resources you should try instead:

  • R for data science
  • Learn R in R with Swirl
  • 3 months free Datacamp for students
  • 

    quincymac on 11/07/2021 - 20:01

    Thanks for sharing!

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    xrailgun on 11/07/2021 - 20:28

    some things you shouldn't use like for loops (use applys instead unless you know what you're doing)

    why is this? for loop performance has been on par with applys for many years by now.

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      Bliss point on 12/07/2021 - 09:21

      +1

      Sure, loops may be as fast as applies if you preallocate memory and solve any issues of 'copy on modify'. Neither of which are concepts I would teach to beginners. Papa Hadley has a good example of the copy on modify problem with loops. Also, as DavidFong mentioned, you cant run a loop on a cluster.

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    DavidFong on 11/07/2021 - 20:44

    +3

    As an R user - and once a volunteer teaching assistant in a course teaching randomized-control-trial methods with the help of R - I can agree with @henrew that

    • traditional arrays are not what I would typically use in R. Most data, at least in my work and studies, is better represented with named columns.
    • loops are best avoided for more efficient, parallelizable (and less vulnerable to logical error) alternatives such as the various 'apply' commands (but I still use loops, sometimes…)
    • the 'tidyverse' library extensions to base R is (for part-time R users like me) the difference between misery and getting things done. And really does help make data 'tidy'

    I can also recommend the Swirl courses (it is what I used to learn R, in the modern era), although they kind of resemble the text-adventures of old!

    Datacamp also has lots of good R material, when I was first learning R, Datacamp material shown in 'google searches' was often extremely helpful.

    RStudio has various interactive tutorials

    • https://rstudio.cloud/learn/primers

    and there is a super-cute primer on R and statistics

    • https://tinystats.github.io/teacups-giraffes-and-statistics/…