Programming for data science a.a. 2021/22

Indice degli argomenti

• 

  Introduzione

  • Forum News
  • Official course webpage. URL
• 

  Course slides

  • General information File
  • Data science using R language File
  • Introduction to R File
  • Data visualization in R: ggplot2 File
  • Vectors in R File
  • Matrix in R File
  • List in R File
  • Data frame in R File
  • Tibbles in R File
  • Tidy Data in R File
  • Data Transformation with dplyr File
  • Apply functions in R File
  • Reading and writing in R File
  • Functions in R File
  • Debugging in R File
  • How to create an R package File
  • ---

  • Supplementary material
    

    
    

  • Reproducible and scalable analyses File
  • Computational modeling in Systems Biology File
  • Number rapresentation File
  • Link a convertitore online Decimale Binario URL
  • Regular Expressions (NEW) File
  • Parallel apply and do.call examples File
  • Bitwise operators vs lazy operators File
  • Complex functions File
  • Project sum File
• Questo argomento
  

  Virtual Room links

  • First lesson will be 24/09 at 11:00 am

    • Course Introduction,  general information
    • Data science using R language

    
    

    Here the webex link:

    https://unito.webex.com/unito/j.php?MTID=m3b787eb8798814eaead9ea56fc7298cc
    

  • link to the first lesson video URL
  • ---

  • Second Lesson will be 1st October 11:15 to 13:00

    
    

    • Introduction to R

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m9a9cbff1b242412d6e16d0035373a60b
    

  • link to the second lesson video URL
  • ---

  • Third Lesson will be 15th October 11:00 to 13:00

    • Introduction to R (second part)
    • ggplot2 library

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m8c1318ce3694181512581687a69d1e71
    

  • link to the third lesson video URL
  • Fourth Lesson will be 22th October  11:00 to 13:00

    • ggplot2 library
    • Vector in R

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=mb1a011a6bddd1fe0012a4cfda44d9004
    

    
    

  • link to the fourth lesson video URL
  • ---

  • Fifth Lesson will be 29th October 11:00 to 13:00

    • vector in R
    • matrix in R
    • list in R

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m3b787eb8798814eaead9ea56fc7298cc
    

    
    

  • link to the fifth lesson video URL
  • ---

  • Sixth Lesson will be 12th November 11:00 to 13:00

    • dataframe in R
      
    • tibbles in R
      
    • Tidy Data in R
    • Transformation in R
      

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m09c8316beff6f2d61717070b90e5c37a
    

    
    

    
    

  • link to the sixth lesson video URL
  • Seventh Lesson will be 19th November 11:00 to 13:00

    • Transformation in R
      
    • Applay function in R

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=md82881c9c2f8a6d44a6a841a66036079
    

    
    

    
    

  • link to the seventh lesson video URL
  • ---

  • Eighth Lesson will be 3rd Dicember 10:15 to 13:00

    • Applay function in R
    • Input and Ouput in R

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m3194a10639838f1f69411165993a0675
    

    
    

    
    

    
    

  • link to the eighth lesson video URL
  • ---

  • Ninth Lesson will be 10th Dicember 10:15 to 14:00

    • Apply functions
    • I/O function
    • Function in R
    • Debug in R
    • Create a package in Rstudio

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=m6e6abe55600f9b029fc3bf78133eaa01
    

    
    

    
    

  • link to the nineth lesson video URL
  • ---

  • Tenth Lesson will be 17th December 10:15 to 13:00

    • Function in R
    • Debug in R
    • Create a package in Rstudio

    
    

    Link to webex:

    https://unito.webex.com/unito/j.php?MTID=mf713c8a934596a2764af53bd647b60d7
    

    
    

    
    

  • link to the tenth lesson video URL
• 

  Previous examintaions

  Non disponibile
• 

  Argomento 4

  Non disponibile