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R Programming Interview Questions | R Programming Interview Questions and Answers | Intellipaat
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In this R programming interview questions, you will learn all the latest interview questions with answers recently asked in MNCs. This video will help you to prepare for the R Programming interview and clear it successfully.
🔵. Here are the topics covered in this video:
00:52 - R Programming Interview Questions
00:56 - Comparing R and Python
02:54 - Explain the data import in R Language
03:38 - Explain how to Communicate the outputs of Data Analysis
04:31 - Difference between library() and require() functions
05:34 - What are the advantages of R programming?
07:01 - What are the disadvantages of R programming?
10:40 - What is the use of the Subset() and sample() function in R?
12:51 - Explain what is Transpose
13:45 - Why do we use R Programming?
17:43 - What is the function used for adding datasets in R?
20:50 - What is the difference between matrix and data frames?
21:46 - What is the difference between lapply and sapply?
23:06 How many data structures R has?
27:43 - What are R packages?
29:32 - What is power analysis?
31:17 - What is the use of abline() function?
31:57 - What is iplots?
32:54 - What is the use of corrgram() function?
33:53 - How to create scatterplot matrices?
35:16 - What is the use of Diagnostic plots?
37:37 - Define Anova() function
38:34 - What is the use of MANOVA?
39:53 - What is logistic regression?
41:02 - Define Poisson regression?
43:10 - What is principal() function?
#RProgrammingInterviewQuestionsandAnswers #RProgrammingInterviewQuestions #RProgrammingInterviewPreparation #RProgrammingInterviewQuestions #HowToPrepareRInterviewQuestions #RProgrammingInterview #intellipaat
If you’ve enjoyed this r programming interview questions and answers, Like us and Subscribe to our channel for more similar informative r tutorials.
Got any questions about r programming for data science? Ask us in the comment section below.
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1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
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6. Lifetime free Course Upgrade
------------------------------
Q. Who should watch this R Interview Questions Video?
Professionals who are passionate about R Programming and who are preparing for R Interviews, and also who wants to go ahead and make their career as a R Programmer
Q. Why should you watch this r programming tutorial?
R programming has been the most promising language when it comes to data analytics and machine learning as it is equipped with a wide array of functionalities. We are offering the top r programming tutorial that can be watched by anybody to learn r language. Our r programming tutorial has been created with extensive inputs from the industry so that you can learn r programming easily.
Q Why r programming is important?
Because of its extensible nature, R programming is finding higher adoption rates for Data Science specialization. It can be widely deployed for various applications and can be easily scaled. learning this r language will help you grab all those jobs that are being created at large companies offering very good pay scales.
Q Why should you opt for a r programming career?
It is one of the booming technologies in the market and hence R professionals are highly required by the companies. You will grab the best jobs in top MNCs after finishing this Intellipaat r programming online training. The entire Intellipaat r programming course is in line with the industry needs. There is a huge demand for r programming certified professional. The salaries for r programming professional are very good. Hence this Intellipaat R tutorial is your stepping stone to a successful career!
------------------------------
For more information:
🔵. Here are the topics covered in this video:
00:52 - R Programming Interview Questions
00:56 - Comparing R and Python
02:54 - Explain the data import in R Language
03:38 - Explain how to Communicate the outputs of Data Analysis
04:31 - Difference between library() and require() functions
05:34 - What are the advantages of R programming?
07:01 - What are the disadvantages of R programming?
10:40 - What is the use of the Subset() and sample() function in R?
12:51 - Explain what is Transpose
13:45 - Why do we use R Programming?
17:43 - What is the function used for adding datasets in R?
20:50 - What is the difference between matrix and data frames?
21:46 - What is the difference between lapply and sapply?
23:06 How many data structures R has?
27:43 - What are R packages?
29:32 - What is power analysis?
31:17 - What is the use of abline() function?
31:57 - What is iplots?
32:54 - What is the use of corrgram() function?
33:53 - How to create scatterplot matrices?
35:16 - What is the use of Diagnostic plots?
37:37 - Define Anova() function
38:34 - What is the use of MANOVA?
39:53 - What is logistic regression?
41:02 - Define Poisson regression?
43:10 - What is principal() function?
#RProgrammingInterviewQuestionsandAnswers #RProgrammingInterviewQuestions #RProgrammingInterviewPreparation #RProgrammingInterviewQuestions #HowToPrepareRInterviewQuestions #RProgrammingInterview #intellipaat
If you’ve enjoyed this r programming interview questions and answers, Like us and Subscribe to our channel for more similar informative r tutorials.
Got any questions about r programming for data science? Ask us in the comment section below.
----------------------------
Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Courseware
6. Lifetime free Course Upgrade
------------------------------
Q. Who should watch this R Interview Questions Video?
Professionals who are passionate about R Programming and who are preparing for R Interviews, and also who wants to go ahead and make their career as a R Programmer
Q. Why should you watch this r programming tutorial?
R programming has been the most promising language when it comes to data analytics and machine learning as it is equipped with a wide array of functionalities. We are offering the top r programming tutorial that can be watched by anybody to learn r language. Our r programming tutorial has been created with extensive inputs from the industry so that you can learn r programming easily.
Q Why r programming is important?
Because of its extensible nature, R programming is finding higher adoption rates for Data Science specialization. It can be widely deployed for various applications and can be easily scaled. learning this r language will help you grab all those jobs that are being created at large companies offering very good pay scales.
Q Why should you opt for a r programming career?
It is one of the booming technologies in the market and hence R professionals are highly required by the companies. You will grab the best jobs in top MNCs after finishing this Intellipaat r programming online training. The entire Intellipaat r programming course is in line with the industry needs. There is a huge demand for r programming certified professional. The salaries for r programming professional are very good. Hence this Intellipaat R tutorial is your stepping stone to a successful career!
------------------------------
For more information:
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