Reddit reviews Introductory Statistics with R (Statistics and Computing)

• OpenIntro is a free basic statistics book including R labs on their website (it may be too basic for you, idk).
  
• Norm Matloff has a free book on statistics here. Even though it's intended for computer scientists, it's contents are really universal and basic (and it uses R too).
  
• Statistical inference by Casella and Berger is considered a "classic". It's heavy on theory though.
  
• All of Statistics by Larry Wasserman is very concise but offers a very good overview (all theory).
  
• See this post or this one for a compilation of freely available textbooks on statistics.
  
  As you wish to get into applied statistics (i.e. actually analyzing data), you'll need software. I'd strongly recommend learning and using R because it's completely free and incredibly powerful.
  
  Here are some resources for learning statistics using R:
  
  
• Statistics: An Introduction Using R by Michael Crawley introduces basic statistical methodology and its application with R. An alternative would be Introductory Statistics with R by Peter Dalgaard.
  
• http://www.r-statistics.com/2009/10/free-statistics-e-books-for-download/
  
• http://blog.revolutionanalytics.com/2011/11/three-free-books-on-r-for-statistics.html
  
• http://www.r-project.org/doc/bib/R-books.html
  
  Then, these websites provide very valuable resources for doing statistics with R:
  
  
• http://zoonek2.free.fr/UNIX/48_R/all.html
  
• http://www.cookbook-r.com/
  
• http://www.statmethods.net/
  
  Hope that helps.
  

I would say: Go for it as long as you are interested in the job :)

For study references for remembering R and Statistics, I think all you would need would be:

For R, data cleaning and the such: http://r4ds.had.co.nz/ and for basic statistics with R probably either Daalgard for Applied Statistics with R and something like OpenIntroStats or Freedman for review of stats

• https://rcompanion.org/rcompanion/index.html
  
  
• https://www.r-bloggers.com/
  
  
• https://www.datacamp.com/community/open-courses/introduzione-a-r
  
  
• https://cran.r-project.org/doc/contrib/manuale.0.3.pdf
  
  
• https://www.amazon.it/Introductory-Statistics-R-Peter-Dalgaard/dp/0387790535/ref=sr_1_6?ie=UTF8&qid=1539355565&sr=8-6&keywords=statistics+with+r
  
  
• https://www.amazon.it/R-Cookbook-Paul-Teetor/dp/0596809158/ref=sr_1_1?ie=UTF8&qid=1539355551&sr=8-1&keywords=r+cookbook
  
  Il terzo sopratutto, se puoi investirci qualche soldo, è secondo me il più veloce. Non parlo strettamente di quel corso gratuito in italiano, ma di tutti i corsi presenti nel portale. Essendo direttamente applicativi ti mitigano la curva di apprendimento di molte volte.
  
  Dell'ultimo libro (ma anche dello springer) ci sono poi tutti i seguiti nelle rispettive collane, in base al proprio indirizzo e a quello che si vuole fare (medicina, finanza, cibo, ecologia, morfologia, etc.)
  
  edit: credo esistano svariati corsi base in inglese su youtube, e qualcosa pure in italiano.

You could do worse than
Daalgard