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Social Media Data Analytics

Social Media Data Analytics

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8.0/10 (Our Score)
Product is rated as #291 in category Data Science

Learner Outcomes: After taking this course, you will be able to: – Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. – Process the collected data – primarily structured – using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. – Analyze unstructured data – primarily textual comments – for sentiments expressed in them. – Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Sample Learner Story: Data analyst wanting to leverage social media data. Isabella is a Data Analyst working as a consultant for a multinational corporation. She has experience working with Web analysis tools as well as marketing data. She wants to now expand into social media arena, trying to leverage the vast amounts of data available through various social media channels. Specifically, she wants to see how their clients, partners, and competitors view their products/services and talk about them. She hopes to build a new workflow of data analytics that incorporates traditional data processing using Web and marketing tools, as well as newer methods of using social media data. Sample Job …

Instructor Details

Chirag Shah is an Associate Professor in both the School of Communication & Information (SC&I) and the Department of Computer Science at Rutgers University. His research interests include information seeking/retrieval in individual, social, and collaborative contexts. Shah received a PhD in information science from the University of North Carolina (UNC) at Chapel Hill. He directs the InfoSeeking Lab (http://infoseeking.org/) at Rutgers where he investigates issues related to information seeking, interactive information retrieval, and social media, supported by grants from National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), Google, and Yahoo! More about him can be found from his homepage: http://chiragshah.org/

Specification: Social Media Data Analytics

Duration 13 hours
Year 2016
Level Intermediate
Certificate Yes
Quizzes Yes

36 reviews for Social Media Data Analytics

3.6 out of 5
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  1. Avatar

    Fermin Q

    Tips you into the direction of great resources, but sometimes lacks in the explanations, leaving most code not explained. Not a deal breaker, and a worthy introduction but a more detailed explanation at times would help.

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  2. Avatar

    Vaibhav S

    Interesting course, could have added a bit more on how to write basic scripts or more ways of social media analytics

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  3. Avatar

    naveen b

    It can be more exhaustive..

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  4. Avatar

    Imre F

    This is an inroductory cousre tou

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  5. Avatar

    Arnav D

    Good overview, could be more robust and thorough!

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  6. Avatar

    Cu N

    Far from being a real course, it need polishing, at this point it looks more like a basic tutorial with a few error, perhaps next versions will be better.

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  7. Avatar

    bingtian

    I’d like to give just one star rating for this course, as it is very far from what I expected. The course expect students to know Python, to know R, but did not go deep enough to help students understand the insight from social media data. In fact, lots of R task can be replaced with Python, so the course could be designed in a much better way that students do not always switch between two programming environments. This course mainly teaches how to download data with keywords, and how to plot graph, not worth the effort of learning. Therefore, I would not recommend this course to anyone.

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  8. Avatar

    Agata F

    A good, basic introduction to Social Media Data Analytics

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  9. Avatar

    Petra

    The course material should be provided on coursera itself. Instead of having to download a 1.8GB dataset from yelp, the two files could have been shared here.

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  10. Avatar

    Juan F

    Very useful to learn the basics of social media analysis (twitter and youtube) with python and R. It’s a good course to start.

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  11. Avatar

    Dr S M

    Liked the course, below are the specific points: Pros: 1. Good introduction to Social media analytics 2. Good demonstration about the packages used for this analysis for Python and R, before this course I didn’t know about Tweepy, NLTP, textblob etc. to do the analysis directly 3. The assignments were not too difficult, sometimes faced challenges due to code not working or data availability. ( The Yelp data set needed in Week 3 is about 10 GBs!) 4. Course is not too difficult or time intensive to finish or work on Cons: its just an introduction towards Social media analytics, do not expect much. You will not be taught the introduction and work around for python and R, although the course says that you do n’t need to know the programming languages to work, but if you don’t know then you are in trouble. Many times code will not work or you will not be able to convert the file or save the file as instructed in the videos, so expect a good proportion to be spent on Internet searching for solutions. The community is almost dead, All the 4 weeks I faced problems in my code because I am from non programming background and so I posted on the forums but got exactly 0 replies from the Instructor and the Course staff. As a result, I had to resort to internet search and trial and error for running the provided codes since I am not a hardcore programming guy The course is fun to learn and get introduction to data analytics but don’t expect to go and apply these concepts in your organization. Reason? they don’t tell you how to get big amounts of data for your organization or the professional social media data providers available who provide large amount of data to organizations to do analysis on. If you want to run an analysis of 50 tweets or 25 you tube videos then its fine anything more than that? Good luck trying to mine Youtube video for 2000 3000 videos or 10,000 20,000 tweets ( which is the minimum amount you will need to run an analysis on and get the correct results) through Python and free APIs Overall, a fun introductory way to know about Social media analytics but don’t expect too much and do not expect to be a social media data scientist through this course. Also, if you are planning to pay I would suggest to get introduced to programming in Python and R so that you won’t face problems when the provided codes do not run and no one in the forums answers your query

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  12. Avatar

    Sanjay F

    This is an excellent course.

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  13. Avatar

    Metin Y

    The course gives an overall exposure about the subject. The focus could be tighten into one program, and there could be more readings/videos about the idea how social media data should be analyzed or interpreted. Yet, the course has too much attention to tools (R and Python).

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  14. Avatar

    Barnava N

    excellent course … gave me a lot of learning.

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  15. Avatar

    faiezy

    Very little appreciation of the codes provided

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  16. Avatar

    Johnnatan L

    Well. this course could improve a lot. Some of the videos are bad edited and a few of the exercise files supplied by the instructor didn’t work as the example at the video so I had to google a fix for the exercise so I could finish it on time.

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  17. Avatar

    Rajat K

    One of the best courses I’ve came across in Coursera. Chirag Sir is simply awesome, the way he describes things is just amazing! I would like to work under him or his connections if given a chance! This course boosted my confidence also.

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  18. Avatar

    Alexander A S G

    very good

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  19. Avatar

    Zhassulan S

    Very good course for overall picture of this field

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  20. Avatar

    Javit A

    Excellent course !

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  21. Avatar

    Grigor I

    This is the worst effort I have ever seen. There are Youtube channels made by teenagers which are more helpful than this course whose only goal is to get money from people who need certificates. It is ridiculously bad there are no explanations for anything, the teaching is lazy and relies on the fact that the students will simply run the provided code. Well, even that is not possible because the codes do not work most of the time. This puts you in a situation where you know nothing in order to produce results yourself, and you cannot even reproduce the results. I cannot believe that this thing is allowed to exist here. It is shocking. I would not even list all the problems I don’t think there is a single week of the course where you can simply run the provided scripts without googling random programming sites for about 8 hours. If you simply want to get money from people and not teach them anything, at least don’t be lazy… In addition, the discussion forums are a long list of people asking for their assignments to be graded. Something that I would enjoy as well!!! However, this is another instance of laziness. The “quizzes” are basically asking “did you do it” and then any answer works, while for the more serious part it is expected from students to do the work. This, of course, is not a working model when people work at a different pace, and when there are no people whatsoever…

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  22. Avatar

    Abdul B M

    Instructor was great, deliver lectures really nice. Looking for some more stuff from Dr. Shah

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  23. Avatar

    Jing Y

    I don’t know how some of the learners rate this course as 5 starts. Because personally experience with the course, I found that the code provided in the practices are not working. This is a big problem. If you want the students to really learn something from this course, at least don’t provide a code that doesn’t work. I have to stress that Python and programming is not a big issue for me. Yet many users here have to search online to fix the code provided in this course. I would not recommend this course to other students and I really doubt further courses provided by the institution. It is a really bad experience.

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  24. Avatar

    Yeifer R C

    En general esta muy bien para empezar, aunque, algunos codigos no estan completos, sirve de incentivo para la autodidactica.

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  25. Avatar

    Satyam K

    Don’t pay for certification. It’s not worth it. It gives only basic idea how Social Media API’s are used and how sentiment analysis and text mining is done in Python and R. You don’t get any coding practice nor you will understand what is happening in the code.

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  26. Avatar

    Muhammad i

    very nice couse but peer assignment is very difficult taks

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  27. Avatar

    Ponciano R

    Good.

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  28. Avatar

    Tronje P K

    Really beginner course. No in deep explanations. Just scratching the surface of the topics. There are several links for more informations that are not working. I needed a lot of time to fix the scripts that were provided by the tutor. Too much money for this very short course. One can do it in 3 days instead of 4 weeks. However it gave me a start in APIs… someone who has zero experience in programming in R or Python can even make this course.

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  29. Avatar

    Cheng H K

    There should be an option that allows you to pass peer assignment reviews if there are no more submitted assignments. Maybe let us review past submissions instead?

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  30. Avatar

    Ardysatrio F H

    This course did not go into the depth I had expected

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  31. Avatar

    Luke S

    Was a bit disappointed with this course. It does provide a very superficial overview of the topic, but I would have preferred just a bit deeper look at how to apply the lessons in everyday situations. The main issue is that the materials are outdated and many of the scripts provided do not work. Learners will need more than a beginner level understanding of Python and R to get them to function properly. The assignments are all just of the form “copy paste and get this provided script to run on your computer”, and there is no verification or feedback on submissions. There is little to no support for these issues in the course forums, and the low enrolment makes it very difficult to get your assignments graded by peers, and it takes forever to accumulate enough peer assignments to fulfil the “grade your peers” requirement.

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  32. Avatar

    Sharan R

    good course

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  33. Avatar

    Vijayarvind.M

    very useful course , willing to do such courses in future

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  34. Avatar

    Eriko S

    This course provided a good introduction to understanding the fundamentals of data analytics and visualization for social media. I definitely feel like I’ve learned a lot!

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  35. Avatar

    Swarn

    This was an excellent course. The professor has put in a lot of hard work to make the course as practical as possible. I took what I learned from this course and am successfully applying the acquired skills sets for my real world data science work.

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  36. Avatar

    Poornima M P

    It was a very great experience while learning.Good Tutors as well good tone of speaking.I really liked the course and looking forward for more courses.

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