Which language is easier to learn for data analysis?

Question

IT education

Which language - python or R is easier and faster to learn for analyzing financial data for a person unfamiliar with programming? Which language is more promising?

Answer 1

Python wins in almost all respects: more promising, easier to learn, dozens of times more material in Russian.
R wins in that, in fact, it was originally created for statistical and financial computing, it is believed that there are more libraries on this subject.
Take a look at jobs for data analyst (or data scientist), and you will see for yourself that Python is required much more often than R.

Answer 2

SQL and matan

Answer 3

Depends on the direction of growth R is a very narrow specialization and it is better tailored for this task. Having studied python, you will enter the development to some extent, you will be able to solve "related" tasks.
I am for python if there is a choice.

Answer 4

For a person unfamiliar with programming (and not a burning desire to learn it), one should not use R or Python, but tools where there is practically no such programming, and basic - and rather complex - data analysis actions can be performed. There are a lot of such tools - from the banal EXCEL, which will cover 80 percent of all your needs, to SPSS, from Rapid Miner to H2O. There are still a lot of specialized online services - but there you already need to look at your specialization - the concept of "analysis of financial data" is very broad and includes many subdomains, each of which has its own services.

Answer 5

Python, SQL.

Answer 6

It's easier than Python, but it's still desirable to have a mathematical base for analysis + statistics.
Many models and methods of analysis require a minimal understanding of the topic.