Playlist Duration

Playlist · NPTEL IIT Delhi

Science Communication: Research Productivity and Data Analytics using Open Source Software

by NPTEL IIT Delhi · 41 videos

Total watch time

1d 6h 11m

at 1× speed · exactly 1 day, 6 hours, 10 minutes, 49 seconds at 1×

At an hour a day you'd finish in 31 days

The shape of the course

41 videos in blocks of 10 · each column is a block's total, to scale

5h 25m
5h 40m
8h 1m
9h 37m
1h 27m

WatchedTo watch

Compare Open on YouTube JSON

Next time, skip the copying: change youtube.com to playlistduration.com in any playlist, video or channel address and it opens here. Or see the total on YouTube itself, with our extension for Chrome, Firefox or Edge.

Your plan

Plan to finish

About 31 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

Days

At one hour a day, every day, this playlist takes about 31 days. Turn on JavaScript to plan around your week.

Videos (41)

1d 6h 11m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser. Titles open on YouTube in a new tab.

Videos to
Watched
1 NPTEL Intro Video on "Science Communication: Research Productivity and Data Analytics using OSS" 4:35 2023-11-16
2 LECTURE 1 - Introduction to Science Communication 24:40 2024-01-19
3 LECTURE 2 - Channels of Science Communication 43:55 2024-01-19
4 LECTURE 3 - Open Science and Open Access 42:46 2024-01-19
5 LECTURE 4 - Open Research Data and Open Peer Review 21:59 2024-01-19
6 LECTURE 5 - Overview of Tools for Maximizing Academic Visibility and Impact of Research Output 33:25 2024-01-23
7 LECTURE 6 - Understanding Research Metrices : Author, Journal and Article Level Metrices 57:59 2024-01-27
8 Abstract and Citation Database Scopus 40:32 2024-02-03
9 Abstract and Citation Database : Web of Science 32:46 2024-02-03
10 Health Science Database : PubMed 22:48 2024-02-03
11 Free Academic Search Engine : Google Scholar 14:50 2024-02-03
12 LECTURE 11 : Installation of R 28:52 2024-02-11
13 LECTURE 12 : Installation of RStudio 20:49 2024-02-11
14 LECTURE 13 : Object and different types 34:09 2024-02-11
15 LECTURE 14 : Vector and Data Frame 45:59 2024-02-11
16 LECTURE 15 : Lists, Matrices, Factor, Array 36:47 2024-02-11
17 LECTURE 16 : Packages and Help 24:41 2024-02-11
18 LECTURE 17 : Science communication and different metrices 58:15 2024-02-18
19 LECTURE 18 : Lotka's law 38:35 2024-02-18
20 LECTURE 19 : Bradford's law 37:29 2024-02-18
21 LECTURE 20 : Zipf's Law 31:24 2024-02-18
22 LECTURE 24 : Analysis of Bradford and Lotka Law 46:29 2024-02-25
23 LECTURE 23 : Descriptive Analysis - III 1:05:42 2024-02-25
24 LECTURE 22 : Descriptive Analysis - II 37:24 2024-02-25
25 LECTURE 21 : Descriptive Analysis - I 35:20 2024-02-25
26 Lecture 25 : Science Mapping - I 1:12:15 2024-03-03
27 Lecture 26 : Science Mapping - II 44:09 2024-03-03
28 LECTURE 27 : Data Visualization : an overview, history and skills for researchers 29:39 2024-03-10
29 LECTURE 28 : Data Visualization : types, tools and technologies 1:06:18 2024-03-10
30 LECTURE 29 : Visualization of Scientific Research Patterns and Trends with VOSviewer and CiteSpace 52:45 2024-03-10
31 LECTURE 31 : Regular Expression 1:00:10 2024-03-17
32 LECTURE 32 : Text Pre-processing 1:06:34 2024-03-17
33 LECTURE 33 : Topic Modeling 45:19 2024-03-17
34 LECTURE 30 : Text Mining - Introduction 29:08 2024-03-17
35 LECTURE 34 : THE , QS, Sanghai (ARWU) and (NIRF) Ranking 1:30:47 2024-03-26
36 LECTURE 35:Academic Integrity & Ethical Guidelines in Science Communication 50:06 2024-03-31
37 Lecture 36 : IPR/Copyright Issues and Practices in Print & Digital Environment 1:05:20 2024-03-31
38 Lecture 3 7 : Predatory Publishing : Issues, Challenges and the Road Ahead 43:58 2024-03-31
39 LECTURE 39 : Case Study #2 Author 42:54 2024-04-06
40 LECTURE 38 : Case Study #1 Subject Domain 1:22:44 2024-04-06
41 LECTURE 40 : Case Study #3 Journal & Instituuion 1:26:33 2024-04-06
For your README

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Watch time: 1d 6h 11m · 41 videos

Markdown
[![Watch time: 1d 6h 11m · 41 videos](https://playlistduration.com/badge/playlist/PLp6ek2hDcoNALhhcMGLFHY5a0-C20yoKJ.svg)](https://playlistduration.com/playlist/PLp6ek2hDcoNALhhcMGLFHY5a0-C20yoKJ)
HTML
<a href="https://playlistduration.com/playlist/PLp6ek2hDcoNALhhcMGLFHY5a0-C20yoKJ"><img src="https://playlistduration.com/badge/playlist/PLp6ek2hDcoNALhhcMGLFHY5a0-C20yoKJ.svg" alt="Watch time: 1d 6h 11m · 41 videos" width="221" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLp6ek2hDcoNALhhcMGLFHY5a0-C20yoKJ returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-10-23 (cached). Private or deleted videos are excluded from totals.