This introduction course of CSS Methods is nicely structured. Prof. Hilbert and the others are great presentations. I enjoyed the course and will definitely continue to the next course.

Excellent course and the instructor(s) make it even more engaging. I love Martin Hilbert and his explanations, examples. I enjoyed course 1 alot and continuing course 2 at the moment.

Excellent course. I learned practical skills.

Very good course ; 5 stars

love it!

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.

Provides some information, but too scattered to make me feel like I have a comprehensive understanding of what's going on on CSS. For example, it frequently uses case studies and examples, but didn't highlight how those examples generalize to other researches and what the differences and commonalities between those examples and other researches are. It just shows that this is still not a systemized discipline I guess.

The first hands-on assignment using web-scraper was really interesting. I would have liked to see a few more similar assignments n other Modules as well. Overall the course was good at providing basic information related to different computational methods that can be used in Social sciences, in a fun and interactive way.

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.

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.

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.

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

An excellent course with amazing guidance from Professor Hilbert. All the lectures were interesting and the concepts were explained very well. This course also includes a number of activities that makes the learning process much more interactive and awesome

Would definitely recommend to anyone who is interested in learning how computational methods can be used in sociology to help understand society! Do check out the entire specialization..its amazing

The course gives me a deeper understanding of social computing. It also re-enforced my assumption that it is possible to offer courses related to ICT for Sustainable Development wherein the 3 pillars of SD - social, economic, and environment can be offered as 1 specialization course in Master and Doctorate degree courses or a Post-Doctorate course. It can be a Doctor in ICT for Sustainability Science.

The course met my expectations, providing a good overview of the several tools and applications of computational social science. I particularly enjoyed the discussion about philosophy of science (empirical, analytical, theoretical etc.) and the hands-on lab (webscrapping).

Thanks for the learning experience and congratulations for the good work developing this course!

Best regards. Fausto, from Brazil.

Thank you for this wonderful course. I learned a lot, including what CSS is all about and what are the parts that fill different parts of it. I understood what is Big Data and ML and these terms to me seem not scary but actually approachable now. Would have been great to have more exercises and reading material (yes, the instructors got me hooked on the topic).

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.

This is a really good and engaging course! The instructors are great, the examples are relevant, and the interactive questions are funny, which helps in the learning process. I recommend the course for anyone who is interested in learning the basics of computational social science and start to understand the techniques used for that!

An excellent course to enter the field of Computational Social Science. Even if one doesn't end up in this field, it gives a fascinating insight into how society works in general. I really liked the hands-on approach. The examples used in the lectures were perfect!

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.

The course was very well planned. The course does not need any prior specialization and anybody with diligence and intent can acquire the skill taught through this course with ease

This is a great course to take as an introduction to Computational Social Science. I hope the rest of the Specialization is just as engaging, relevant, and informative.

Very useful and clear introductory course! Thanks Prof. Martin Hilbert for the amazing content. I cannot wait to take all the other courses in this specialization.

Don't expect to dive deep into computational tools, but it's a great introductory course into Computational Social Science and the professors are great.