Тёмный

17 Data management 

NPTEL-NOC IITM
Подписаться 475 тыс.
Просмотров 152 тыс.
50% 1

Опубликовано:

 

30 июл 2019

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 22   
@arghabratasingha9512
@arghabratasingha9512 3 года назад
Reading the pdf without explanation is not going to help
@4040muqueem
@4040muqueem 9 месяцев назад
Good and reasonable explanation. Given the nature of topic, the presenter has done a good job.
@shashank1731
@shashank1731 5 месяцев назад
All teachers are helpful, except this one…..
@surekhachavan9495
@surekhachavan9495 3 года назад
Database creation needs software engineer help... IT ppl... Very difficult.
@Shampa9519
@Shampa9519 2 года назад
Assignments can't be done as this class is not well explained. Many questions are out of the coverage of the video.
@Elninojunior
@Elninojunior 9 месяцев назад
You have to understand this guy is not a doctor of modern medicine. He is just a glorified quack, with all due respect. He has a degree in Siddha medicine, which Wikipedia describes as quackery. He did his best considering his qualifications.
@abhyunnati8589
@abhyunnati8589 Год назад
Superb
@alauddinalam7093
@alauddinalam7093 3 года назад
Good.Thank you
@dpanchal125
@dpanchal125 11 месяцев назад
Excellent…please other presenters learn from madam
@dentistry1997
@dentistry1997 Год назад
Not expected such reading from faculties Very poor
@Elninojunior
@Elninojunior 9 месяцев назад
You have to understand this guy is not a doctor of modern medicine. He is just a glorified quack, with all due respect. He has a degree in Siddha medicine, which Wikipedia describes as quackery. He did his best considering his qualifications.
@drarulmozhiselvan
@drarulmozhiselvan 2 года назад
explaining the thing with an example would be much better rather than reading it out from the slides...
@Elninojunior
@Elninojunior 9 месяцев назад
You have to understand this guy is not a doctor of modern medicine. He is just a glorified quack, with all due respect. He has a degree in Siddha medicine, which Wikipedia describes as quackery. He did his best considering his qualifications.
@bhushan05naitam
@bhushan05naitam Год назад
Plz explain dichotomised variable.
@4040muqueem
@4040muqueem 9 месяцев назад
Yes/No True/False etc
@biswajitbhowmick7296
@biswajitbhowmick7296 5 месяцев назад
Variables that consist of 2 categories eg: true or false yes or no
@vrharshal387
@vrharshal387 6 месяцев назад
Very difficult to understand . Very poor explanation
@Elninojunior
@Elninojunior 9 месяцев назад
Why are Doctor of Sidhha medicine allowed to take these classes ? Wikipedia describes Sidhha medicine as “quackery”. We, the postgraduate MD students have to sit through a class taken by a glorified quack, with all due respect. This is just insane if you think about it. This can happen only in India. A BSMS guy should not take a lecture about Biomedical Research. Now I know ICMR and Ayush ministry will track my IP and punish me but I’m never afraid of saying the truth. No disrespect to any Ayush guy.
@isabell99840
@isabell99840 5 месяцев назад
No one will track or punish you.. But whatever u stated is absolutely correct.. Condition of reserch in India is almost pathetic .
@Reme873
@Reme873 3 года назад
Explanation Not very helpful.
@Elninojunior
@Elninojunior 9 месяцев назад
You have to understand this guy is not a doctor of modern medicine. He is just a glorified quack, with all due respect. He has a degree in Siddha medicine, which Wikipedia describes as quackery. He did his best considering his qualifications.
@isabell99840
@isabell99840 5 месяцев назад
Completely useless lecture.. Why the hell do they even upload such useless classes.
Далее
18 Overview of data analysis
12:42
Просмотров 114 тыс.
16 Principles of data collection
17:06
Просмотров 135 тыс.
Ultimate Guide to Data Management for Businesses
10:07
What is Master Data Management
4:01
Просмотров 70 тыс.
09 Qualitative research methods
20:15
Просмотров 211 тыс.
06 Analytical study designs
22:05
Просмотров 250 тыс.
Data Analytics vs Data Science
6:30
Просмотров 425 тыс.