Chevron Left
Back to Social Media Data Analytics

Learner Reviews & Feedback for Social Media Data Analytics by University of Washington

4.1
stars
293 ratings

About the Course

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 reviews

PP

Feb 9, 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 19, 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.

Filter by:

26 - 50 of 76 Reviews for Social Media Data Analytics

By Tarun R

Apr 11, 2020

Great Course. New Learnings

By Sachin N P

Mar 31, 2020

Nice course for beginners

By Sushma p p

Mar 19, 2020

excellent course !..

By Javit J A C

Mar 6, 2018

Excellent course !

By Tarun B A

May 29, 2020

Great Course

By Jalaj P S

Sep 6, 2020

It was Good

By Sharan R

Dec 22, 2019

good course

By Alexander A S G

Dec 4, 2017

very good

By baboorai

May 14, 2020

best

By Natalia R

Jan 30, 2021

I didnt like that the codes were available for us to just run. Sometimes, the code can very depending on what software version you have, which happened to me. So i had to figure out which lines were having trouble or what was wrong with the code.

I was looking forward to learn how to code to get information from social media, which I didn't. I just copied and pasted the code. And if I wanted to repeat that, change some things or do something different, i don't know how. I didn't learn to code for social media.

By Peter J

Feb 11, 2021

This is the only Coursera Couse that I would say was a complete waste of my time. The material is severely out of date, the lectures are poorly structured and even the video/audio quality is low. There are other courses on this website that deal with this topic, don't waste your time on this one.

By Disztl D

Jun 15, 2023

Very outdated. The Twitter API doesn't even work anymore.

By Hasan A

Oct 31, 2020

Lack of explanation, not updated and hard to understand.

By Shriganesh B

Jul 6, 2021

It was very interesting and very helpful to NLP students

By Archunan G

Feb 22, 2021

Very good learn the social media and sentiment analysis

By Harshit S

Jun 3, 2021

This course was very helpful

By ABHILASHA S

Feb 18, 2022

Very Interesting

By Ankur S

Jun 1, 2020

Overall its a good course but a very basic one. You get to know about data scraping and the basic analysis which needs to be done on the datasets. Last two weeks is kind of interesting where the instructor provides more info about the sentiment analysis and the visualization. Good course overall cheers!!

By Metin Y

Jul 10, 2017

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).

By Totok W W

May 1, 2020

Obviously I learned something from this course, thanks to Dr. Chirag Shah. Unfortunately, there are some parts of this course that needs to be improved, i.e broken link, the mistake in video, and more importantly is how you deliver a structured material. Good luck then.

By Fermin Q

Nov 7, 2016

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.

By Agustin N F

Mar 22, 2021

The course is a great for a start in the social media data analytics. The teacher explains the content very well. My rating is four stars because I found expired links and a file with R code that did not compile.

By Eriko S

Jan 19, 2020

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!

By Cheng H K

May 23, 2019

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?

By Petra B

Apr 16, 2017

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.