Feedback form for R Advanced Workshop on 21 November 2020

Dear Participant,

We thank you for attending the R workshop on 21 Nov. 2020. We would like to have your valuable feedback about the Workshop and the Self-Learning experience as it will help us enhance the quality of our work. Kindly click on the best option that describes your views. You can also provide your comments in the spaces provided in the form. Your response will be kept confidential.

Thank you for your time!

Total number of responses : 8



1. Your age


21


32


19


45


23


20


57


25





2A. Your background:

Count of  'Faculty in a College'   :    3
Count of  'Research Scholars/PhD Student'   :    1
Count of  'Student (B.E/B.Tech/B.Sc/Any other bachelor's degree)'   :    2
Count of  'Student (M.E/M.Tech/M.Sc/Any other Master's degree)'   :    2
Count of  'Working Professional'   :    0
Count of  'Other:'   :    0




2B. If your answer to the above question is OTHER, then please specify:





Questions related to the R background

Q3A. Do you use any statistical computation software (other than R) in your college/Institute/Organisation?

Count of  'Yes'   :    7
Count of  'No'   :    1




Q3B. If the answer to the above question is Yes, please let us know the name of the software (other than R) in your college/organization. (If NO, then please select the option 'Never used before'.)

Count of  'SPSS'   :    2
Count of  'SAS'   :    2
Count of  'MATLAB'   :    6
Count of  'Microsoft Excel'   :    6
Count of  'Minitab'   :    1
Count of  'STATA'   :    0
Count of  'tableau'   :    1
Count of  'Never used before'   :    1
Count of  'Other:'   :    2




Q3C. If your answer to the above question is OTHER, then please specify:


Python


python





Q3D. For how long have you been using the above-mentioned statistical computation software? (If NO, then please select the option 'Never used before'.)

Count of  'Never used before'   :    0
Count of  'less than 1 year'   :    1
Count of  'less than 3 years'   :    2
Count of  'less than 5 years'   :    3
Count of  'more than 5 years'   :    2




Q4A. Do you already use R in your college/Institute/Organisation?

Count of  'Yes'   :    7
Count of  'No'   :    1
Count of  'Not sure'   :    0




Q4B. If the answer is "Yes" to the above question, in what way do you use? Please select all the relevant options.

Count of  'Course work - class or lab'   :    5
Count of  'Research'   :    6
Count of  'Consultancy'   :    1
Count of  'Other:'   :    0




Q4C. If your answer to the above question is OTHER, then please specify:





Q5A. Why would you like to learn R?

Count of  'For course work - class or lab'   :    6
Count of  'For research'   :    7
Count of  'Consultancy'   :    3
Count of  'Other'   :    1




Q5B. If your answer to the above question is OTHER, then please specify:


For industrial purpose





Questions related to topics covered during workshop

Q6. Rate your level of understanding the concept for the topic Linear Discriminant Analysis using R (before and after the workshop)(Please choose 1 for beginner and 5 for an expert)





Q7. Rate your level of understanding the concept for the topic Decision tree using R (before and after the workshop)(Please choose 1 for beginner and 5 for an expert)





Q8. Rate your level of understanding the concept for the topic Random Forest using R (before and after the workshop)(Please choose 1 for beginner and 5 for an expert)





Q9. Rate your level of understanding the concept for the topic K-means clustering using R (before and after the workshop)(Please choose 1 for beginner and 5 for an expert)





Q10. Rate your level of understanding the concept for the topic Hierarchical clustering using R (before and after the workshop)(Please choose 1 for beginner and 5 for an expert)





Questions related to the workshop

Q11. Did the assignments help you to improve your R programming skill?

Count of  'Yes'   :    8
Count of  'No'   :    0
Count of  'Not sure'   :    0




Q12. Rate your level for R programming skill(Before and after the workshop)(please consider 1 as beginner and 5 as an expert)





Q13. Did the assignments help you to improve your level of understanding for exploratory data analysis/regression/ Artificial Neural Network?

Count of  'Yes'   :    8
Count of  'No'   :    0
Count of  'Not sure'   :    0




Q14. Rate your level of understanding for the topics for exploratory data analysis/regression/ Artificial Neural Network (Before and after the workshop)(please consider 1 as beginner and 5 as an expert)





Q15. Rate the following aspects of the workshop:





Q16. How would you rate your level of knowledge in classification and clustering using R before and after the workshop? (Please choose 1 for beginner and 5 for an expert)





Q17. Select the response that describes your overall view of the workshop





Q18. How will you rate the difficulty of the practice problems? Please choose 1 for Easy and 5 for Difficult

Count of  '1'   :    0
Count of  '2'   :    2
Count of  '3'   :    4
Count of  '4'   :    2
Count of  '5'   :    0




Q19. Does the material taught during the workshop help in solving practice problems?

Count of  'No'   :    1
Count of  'Yes'   :    6
Count of  'Somewhat'   :    1




Q20. Would you like to become a TA for R-beginner workshop?

Count of  'Yes'   :    6
Count of  'No'   :    2




Q21. What aspect(s) about the workshop did you like the most?


Amazing instructors. Good knowledge and conveyance abilities.


Hierarchical clustering with given dataset


LIVE SESSIONS


Practice Problem, Short Session


The way they explain all mathematical calculation behind every algorithm


The aspect that the EDA was given beforehand and we could do self-study and submit.


Every online Lecture given by faculty was linked to the previous lecture with more motivations, and the assignment part worked very well for beginning the 8 hours workshop.





Q22. What aspect(s) about the workshop did you dislike the most?


NA


NA


Nothing


HTML presentation is somewhat not good for computer screen, as it's background white and very small font size, with dull gray color. Better if R Markdown file directly used for dynamic live presentation, increase font size to at least 16 and background solarized light. Overall the hard work by faculty from IIT Bombay and VIT, Chennai both is remarkable. Looking forward to have long association with this team.





General

Q23. Check all the activities of the FOSSEE R team that you will be interested to participate in.

Count of  'R Lab migration'   :    3
Count of  'R textbook Companion'   :    4
Count of  'R Case study project'   :    8
Count of  'Going through research papers and identifying case studies that could be done using R'   :    7




Q24. Suggestions for improvement or any other suggestions.


Maybe have these workshops over a couple of days. It would help the participants learn more. Morning till evening workshops tend to drain us and we reach a saturation point after a while


Everything is good! IIT always represents the knowledge in 360 dgree. Thank you R Team


No


Since it was a one-day workshop and so much was taught just in a day, we had a problem retaining things. The teachers were repeatedly asking for questions and we couldn't perfectly use the opportunity to interact with them. So it would be better if in an advanced workshop, the most elementary concept materials are given beforehand and we can go through them and understand. In the workshop, the teachers will go deeper and explain to us some deeper analysis or implementation of the concepts, so it would be a more quality interaction. But overall the workshop was great.


For School and College students, more publicity through social media is required. For all courses from ST/Fosse through IIT Bombay. This one day (8 hours) live session must be followed. Thanks and best regards- Dr. Satish Verma