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Kursteilnehmer-Bewertung und -Feedback für Social Media Data Analytics von University of Washington

4.2
Sterne
223 Bewertungen
58 Bewertungen

Über den Kurs

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 Roles requiring these skills: - Social Media Analyst - Web Analyst - Data Analyst - Marketing and Public Relations Final Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class. The course was developed by Dr. Chirag Shah while he was a faculty member at Rutgers University. He is currently a faculty member at University of Washington....

Top-Bewertungen

PP

Feb 10, 2020

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.

RG

May 20, 2020

Give me the way to tackle data collection and analysis with Twitter, YouTube, and Yelp. It learns me to process and visualize of social media data.

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51 - 56 von 56 Bewertungen für Social Media Data Analytics

von Jing Y

Jun 02, 2018

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.

von Ayush M

Jul 08, 2020

The course is very outdated, with most of the links for the reading materials no longer accessible. It was very difficult to process the codes for both python and R given that several warnings and exceptions for data formats weren't discussed. There is no guidance from the course providers or the community, and neither is there any customer support for missing files.

The course material was also very basic, and one would need to delve deeper into programming, mostly python to get a better understanding as one of the most important part which is to analyze any third party's social media accounts wasn't covered.

von bingtian

Jan 22, 2017

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.

von Satyam K

Sep 20, 2018

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.

von Cu N

Jan 12, 2017

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.

von faiezy

Aug 21, 2017

Very little appreciation of the codes provided