04:58

INTRO

02:39

INTRO

59:57

LECTURE 19

01:09:18

LECTURE 18

01:18:32

LECTURE 17

01:01:31

LECTURE 16

01:20:23

LECTURE 15

52:43

LECTURE 14

01:21:11

LECTURE 13

12:38

LECTURE 42

12:51

LECTURE 41

16:27

LECTURE 40

01:26:33

LECTURE 40 : Case Study #3 Journal & Instituuion

01:22:44

LECTURE 38 : Case Study #1 Subject Domain

42:54

LECTURE 39 : Case Study #2 Author

58:52

LECTURE 12

56:31

LECTURE 11

19:06

LECTURE 39

37:32

LECTURE 38

43:58

Lecture 3 7 : Predatory Publishing : Issues, Challenges and the Road Ahead

01:05:20

Lecture 36 : IPR/Copyright Issues and Practices in Print & Digital Environment

50:06

LECTURE 35:Academic Integrity & Ethical Guidelines in Science Communication

01:26:17

LECTURE 33

01:09:04

LECTURE 32

01:16:01

LECTURE 31

01:49:23

LECTURE 10

01:30:47

LECTURE 34 : THE , QS, Sanghai (ARWU) and (NIRF) Ranking

35:43

LECTURE 37

55:19

LECTURE 36

39:51

LECTURE 35

01:24:13

LECTURE 9

01:09:24

LECTURE 36

01:04:59

LECTURE 35

01:21:50

LECTURE 34

53:41

LECTURE 34

54:03

LECTURE 33

01:12:37

LECTURE 32

01:07:33

LECTURE 31

01:11:58

LECTURE 8

01:06:05

LECTURE#7

29:08

LECTURE 30 : Text Mining - Introduction

45:19

LECTURE 33 : Topic Modeling

01:06:34

LECTURE 32 : Text Pre-processing

01:00:10

LECTURE 31 : Regular Expression

01:13:30

LECTURE 30

01:13:26

LECTURE 29

01:04:19

LECTURE 28

34:27

LECTURE 29

33:03

LECTURE 28

01:39:11

LECTURE 27

01:39:42

LECTURE 26

30:56

LECTURE 30

52:45

LECTURE 29 : Visualization of Scientific Research Patterns and Trends with VOSviewer and CiteSpace

01:06:18

LECTURE 28 : Data Visualization : types, tools and technologies

29:39

LECTURE 27 : Data Visualization : an overview, history and skills for researchers

01:04:23

LECTURE 6

59:09

LECTURE 15

54:59

LECTURE 14

53:34

LECTURE 13

52:05

LECTURE 12