+ 5

Which language is suitable for statistical analysis?

18th Feb 2018, 2:16 PM
Pranjal Singh Deo
11 Réponses
+ 3
COBOL is used by banks a lot. So maybe COBOL would be good. But it’s an extremely old language.
18th Feb 2018, 2:24 PM
Jax
Jax - avatar
+ 3
can you guys by any chance know about a good platform for "r" ?
18th Feb 2018, 2:26 PM
Pranjal Singh Deo
+ 3
thanks palash I will definitely look at it 😃
18th Feb 2018, 2:56 PM
Pranjal Singh Deo
+ 2
and also thanks for your suggestions , they are of great help . I just completed my fundamental sql , and in the midway of completing python . Which site or app provides courses in advanced sql with certification ?
18th Feb 2018, 2:28 PM
Pranjal Singh Deo
+ 2
expertise varies with specific sectors
18th Feb 2018, 2:54 PM
Pranjal Singh Deo
+ 2
R and Python are two of the biggest when it comes to this
18th Feb 2018, 5:52 PM
DeleteThisAccount
+ 1
I guess this just complicated the answer even more 😜but I really appreciate your response 😊
18th Feb 2018, 2:44 PM
Pranjal Singh Deo
+ 1
R and Python are best for the job. You can learn the fundamentals of them at http://datacamp.com , they provide very good course with video lessons and certificates on completing
18th Feb 2018, 2:52 PM
Palash Bauri
Palash Bauri - avatar
+ 1
thanks Alex , for helping me out , I guess knowledge of both languages is required in a broader aspect of data science.
18th Feb 2018, 2:54 PM
Pranjal Singh Deo
0
"In a nutshell, he says, Python is better for for data manipulation and repeated tasks, while R is good for ad hoc analysis and exploring datasets." Python? "From pulling the data, to running automated analyses over and over, to producing visualizations like maps and charts from the results, Python was the better choice." R? "R, by contrast, is good for statistics-heavy projects and one-time dives into a dataset. Take text analysis, where you want to deconstruct paragraphs into words or phrases and then identify patterns."
18th Feb 2018, 2:49 PM
Alex
Alex - avatar