Which is a better initiative to learn data science Python or R

+10 votes
Which is a better initiative to learn data science: Python or R?
Aug 9, 2018 in Data Analytics by Anmol
• 1,780 points
1,624 views

3 answers to this question.

+3 votes
Best answer

Well it truly depends on your requirement,

If your work requires you to connect with other frameworrk and databases then python provides much better APIs while if you are more into statistical computing and algorithmic predictive modelling then R suites better.

Moving over nowdays Deep Learning is also trendy in the market, Python has better community support and supportive frameworks such as Keras and TFLearn to make your task easier.

Start Your Journey to Becoming a Data Scientist - Join Our Data Science Training Program Now!

answered Aug 9, 2018 by Abhi
• 3,720 points

selected Aug 9, 2018 by Anmol
+2 votes

“ Data Science is a blend of various tools, algorithms, and machine learning principles, to discover hidden patterns from the raw data ”

Data Analyst usually explains what is going on by analysing history of the data whereas, a Data Scientist not only does the exploratory analysis to discover insights from it, but also uses various advanced machine learning algorithms to identify the occurrence of a particular event in the future.

Data Science is primarily used to make decisions and predictions by using predictive causal analytics, prescriptive analytics (predictive + decision science) and machine learning.

Language Specialities for datascience :

  • R and Python are equally good for finding outliers in a data set, but for developing a web service to enable other people to upload datasets and find outliers, Python is better.
  • People have built modules to create websites, interact with a variety of databases, and manage users in Python.
  • In general, to create a tool or service that uses data analysis, Python is a better choice.

But data science is good to go with both R/Python. It depends on your need and the language you are comfortable with.

answered Aug 9, 2018 by zombie
• 3,790 points
0 votes
Data Science is a platform which uses Programming Language like Python, SQL, Java,R. All these language has different importance in Data Science. It is always better if we have knowledge of the maximum Programming language But at the starting it is not quite possible to have knowledge of all programming language . I think it is always beneficial to start learning with Python because Python is mostly prefer at the time of project and at present most of the project are carried out using Python. We also know that Python has grown as the mostly used programming language of today and it is expected to grow more and its demand is high in the market.
answered Apr 5, 2019 by MrBoot
• 1,230 points

Related Questions In Data Analytics

+1 vote
3 answers

Which language should I learn when starting career as data scientist - R or Python

I'll put down a few parameters on ...READ MORE

answered Oct 26, 2018 in Data Analytics by Kalgi
• 52,350 points
1,590 views
0 votes
3 answers

R vs MATLAB, which is better with respect to machine learning?

Hello, Both are a good programming language you ...READ MORE

answered Apr 12, 2019 in Data Analytics by SA
• 1,090 points
1,486 views
0 votes
1 answer
0 votes
1 answer

R language has several packages for solving a problem. How do you make a decision on which one is the best to use?

CRAN package ecosystem has more than 6000 ...READ MORE

answered Jun 5, 2018 in Data Analytics by zombie
• 3,790 points
1,150 views
+1 vote
4 answers

Python vs. R for data science

I would say both Python and R ...READ MORE

answered Aug 1, 2019 in Data Analytics by briny
2,176 views
0 votes
7 answers
0 votes
1 answer

Python equivalent to replace function in R

There is actually a replace function in ...READ MORE

answered May 31, 2018 in Data Analytics by Bharani
• 4,660 points
1,388 views
0 votes
1 answer

Which package is used to do data import in R and Python and How do you import SAS data?

We can do data import using multiple ...READ MORE

answered Aug 24, 2018 in Data Analytics by Abhi
• 3,720 points
921 views
0 votes
1 answer
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP