von Jesús P•
May 29, 2020
I thank Coursera and the community of teachers, especially Professor Hilbert for the knowledge and training provided. It is an excellent introductory course in Computational Social Sciences. It illustrates very well the new possibilities that we have to investigate in Social Sciences taking full advantage of new tools and methods, in addition to a new theoretical field that is recast with the knowledge obtained by researchers before the digital revolution. The course has practical exercises with which you begin to develop skills to identify sources of information, extract, and process the data available on the internet. The concepts are approached from different perspectives facilitating their learning. Well, you can watch videos, read and observe mind maps.
von Guan-Yuan W•
May 31, 2020
This course gave me an overview of the core concepts of computational social science, including big data, machine learning, social network and computer simulation and so forth. Nowadays, owing to massive digital footprints left behind today’s social interactions, there are more and more researches done effectively and accurately by computational means, for example, helping governmental policymaker to make better decisions via data science, studying human behaviour to help our lives better via social network analysis, etc. Thus, as an economics master student, I'd like to apply this sort of tools to develop my personal research.
von OLAYEMI H R•
May 03, 2020
I have benefited a lot in this course so far. A lot of concepts i have not heard before and the ones i didn't have clear pictures on before are now clearer. The web scraping was so interesting such that I started developing interest in learning how to web scrape using python. The machine learning tool also, though not really deep, but I enjoyed it. Learning how to use digital footprint for detecting poverty level was really amazing, it boost my moral in understanding how big data is so important in this 21st century. The knowledge garnered in social networking analysis was quite massive. I am happy I took this course.
von Amelia S•
May 20, 2020
The lectures are very well structured and the flow of each lectures flows great; reference support and reading material is very satisfying; Presentation support such as drawings, slides, cartoons is very interesting; the way the lecturer teaches is very passionate and very interesting; the speed of the lecturer is suitable to my ability to listen and comprehend; the voice and pronunciation are clear and easy to understand; the material taught is very useful, interesting and up to date; this lecture will be very useful for my career in the future; this lecture will be very useful for real life in the future
von Maria X R•
May 27, 2020
I was really impressed by how relevant the topics presented were, and especially by the variety of fields that are shown. This would not have been possible if professors from different backgrounds had not collaborated to create such a rich course like this one. After this course, I am really looking forward to the upcoming courses in the specialization.
von Muxin L•
Mar 23, 2020
Great introduction to the specialization series on computational social science. Some technical tools are introduced but the course is largely a primer to what's currently possible in the digital age. Recommend for anyone curious about what this discipline is.
von Malla V•
Apr 22, 2020
Got a rudimentary level understanding of the power of computational tools like ML, SNA and ABM can help in analysis of human dynamics
von Sukanto M•
Feb 24, 2020
A much needed course in the current scenario.
von Yeh-Kang C•
May 23, 2020
Not that hard but really fruitful.
von Benjamin P•
Mar 02, 2020
von Noor Q•
Mar 07, 2020
This is a really fun course, even though I had some knowledge in the topic it is presented in a fun creative way that I learned a lot and never felt bored.
There were few issues though, the peer graded assessment asks for 5 pictures and then awards people who post more than 5 without saying that is the case in the instructions, as a teacher myself I would never expect students to provide more than they are asked for and penalize them if they don't.
I also found some of the machine learning lecture in week 3 confusing, especially considering I had some background which made me able to keep up, others might struggle.
von Abhyudaya A•
May 14, 2020
von ROBERT C•
Apr 17, 2020
Great content! Quiz questions need to be reconsidered, and more projects would be useful