Can Python displace R for Data Science?

Asked by Last Modified  

3 Answers

Follow 1
Answer

Please enter your answer

C language Faculty (online Classes )

Both languages are well suited for any data science tasks you may think of. The Python vs R debate may suggest that you have to choose either Python or R. While this may be true for newcomers to the discipline, in the long run, you'll likely need to learn both.
Comments

Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Python might replace R in some areas of data science because it is versatile, easy to learn, and has many libraries for data analysis and machine learning. However, R is still strong in statistical analysis and data visualization, making it valuable for specialized tasks. While Python is growing in popularity,...
read more
Python might replace R in some areas of data science because it is versatile, easy to learn, and has many libraries for data analysis and machine learning. However, R is still strong in statistical analysis and data visualization, making it valuable for specialized tasks. While Python is growing in popularity, R will continue to be used, especially in academia and research. Both languages have their strengths, and the choice depends on the specific needs of the project. read less
Comments

I am online Quran teacher 7 years

Python might replace R in some areas of data science because it is versatile, easy to learn, and has many libraries for data analysis and machine learning. However, R is still strong in statistical analysis and data visualization, making it valuable for specialized tasks. While Python is growing in popularity,...
read more
Python might replace R in some areas of data science because it is versatile, easy to learn, and has many libraries for data analysis and machine learning. However, R is still strong in statistical analysis and data visualization, making it valuable for specialized tasks. While Python is growing in popularity, R will continue to be used, especially in academia and research. Both languages have their strengths, and the choice depends on the specific needs of the project. read less
Comments

View 1 more Answers

Related Questions

How to learn Data Science?

Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability,...
Hdhd
0 0
6

Which course should a HR professional go for Data Science R or Data Science Python?

 

If you are from a technical background, do Python. Otherwise, do the R Course.
Aditti

How to learn Data Science?

Data Science is a vast field. First of all you should learn statistics which is very important in Data Science field. Then you need to learn about basic Data Analytics and concepts. Languauges like SAS,...
Hdhd
0 0
6
I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
Asish
0 0
8

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Why do I need to know the Data science concepts ?
If you are working for Data analysis activity in a project, you need to know the data mining concepts. The Data science handles a series of steps in this data mining activity. By learning this subject...

Use Data Science To Find Credit Worthy Customers
K-nearest neighbor classifier is one of the simplest to use, and hence, is widely used for classifying dynamic datasets. Click on the link to see how easy it is to classify credit-worthy vs credit-risk...

Market Basket Analysis
Market Basket Analysis (MBA): Market Basket Analysis (MBA), also known as affinity analysis, is a technique to identify items likely to be purchased together. The introduction of electronic point of sale...

Outlier
Outliers* An Outlier is an observation point that is distant from other observations.* An outlier may indicate an experimental error, or it may be due to variability in the measurement. * Outliers are...

Recommended Articles

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

Read full article >

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

Software Development has been one of the most popular career trends since years. The reason behind this is the fact that software are being used almost everywhere today.  In all of our lives, from the morning’s alarm clock to the coffee maker, car, mobile phone, computer, ATM and in almost everything we use in our daily...

Read full article >

Microsoft Excel is an electronic spreadsheet tool which is commonly used for financial and statistical data processing. It has been developed by Microsoft and forms a major component of the widely used Microsoft Office. From individual users to the top IT companies, Excel is used worldwide. Excel is one of the most important...

Read full article >

Looking for Data Science Classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you