I had no experience in natural language processing before I took this course, and now I'm kind of in love with it! Some of my fellow learners complained about the new data type and little information provided, but I feel this is a good simulation of real world experience as a data scientist! The field is constantly changing, so we have to be ready to cope with unfamiliar problems and come up with creative solutions. Due to other commitments, I was once 3 weeks behind the weekly deadlines, but finally poured all my efforts into this and deployed an App in time... You never know how much you can accomplish before you are forced to do a "Mission Impossible" ;-) I think I've improved my hacking + googling skills, and built more confidence over completion of this course. Thank you, JHU and Coursera!

The idea of the final project is superb! It really pushes you to your limit, but giving resources through the way so you don't get lost, which is certainly pretty easy.

This course differs a lot from the previous ones because you are pretty much on your own, with only guidelines and references on what they suggest you should do.

The intention is clearly to mimic real life projects, where you have a basic goal, your and others expectations, and knowledge PLUS hardware limitations. And you will have to overcome it in order to be a good Data Scientist!

I really recommend this specialization!

Each Course has its own challenges. The first few courses were easy to work through while the last three were more challenging, especially the Capstone. Sometimes I had to go back to some of the earlier Courses to get refreshed on the material then continuing working on the Capstone Course. All in all an enjoyable but challenging program. I enjoyed every bit of it. It pushed me to the limit. I would encourage anyone to complete the whole program.

This is, hands down, the best course in R that takes you from being a beginner to an inquisitive data scientist. Imparting knowledge about all that's possible with R programming language, everything about stastical learning and of course a really great experience of what being a Data Scientist is like. I'm really thankful to the JHU professors, namely, Brian Caffo, Roger Peng and Jeff Leek for making this all possible. Really awesome!

This specialization was like a box of chocolate. I at first thought it was easy, then found the difficulties and struggled a bit. Then again I urged myself to finish this slowly which was a good decision ultimately. At present, I am now relating the things I learnt with my study in the field of Economics. Thank you very much for organizing this specialization. This has been a great experience for me. Gracious!

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this specialization to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

The Practical assignments that i did through out the course is helpful. This course helps in establishing good foundation in the field of data science/analytics. One capstone for this vast field may not be enough and learners may need to follow more guided projects to get a better insight of what industry wants.

For me this project was harder than all other courses combined but, because of that, also more rewarding! The theory is very scarce so you're on your own, that's what makes it hard. Once you get the theory right the rest is easy. I learned a lot of NLP and let me practice "Pitchs" using diferent R tools.

The Capstone starts well with sufficient guidance. The second part gives much freedom however, it might be overwhelming and unclear at times what to do next. However, I loved going out on my own and slowly learning more and more on the subject.

You can pretty much choose how much effort you put into it.

Great learning experiences with multiple meaningful projects and lessons. The whole concentration has been well-designed and well-founded. I had built a solid foundation of understanding for subject. Thank you for teaching this concentration, Professor Chen， Professor Leek and Professor Caffo.

It was amazing to learn something completely different from what I personally expected. NLP is such an interesting field, I'm so glad this was my first approach to that topic. The course project was excellent to apply almost everything that was taught throughout the specialization.

In this last module I have learned a lot. It was demanding and quite tricky as you were asked to take your own decisions as there is no best answer at all. I learned to decide what I want and to create an appropriate solution. The best lesson so far along this specialization track.

I loved doing the capstone project for the Data Science specialisation. I applied all the skills I learnt during the length of the specialisation on Coursera. Having completed this project, I feel more confident about my skills as a data scientist in solving real world problems.

This capstone requires all the skills that you learned from the series of specialization in addition to self-learning about Natural Language Processing. So, it was challenging course to me, but if you go through it, you can find yourself armed with the data scientist skill sets.

Really challenging but satisfying enough!

Thank you for Cousera team who patiently developed such a beautiful program for upskilling us, the so-called data scientist! :)

The journey to accomplish this Data Science Capstone is something I'd remember & cherish, indeed.

Awesome specialization! Super happy to be done with 100% on all the courses and 95% on the capstone. I would love to be a part of this great team, maybe as a mentor. Thank you to all the instructors for great lectures and to mentors who helped with the forums.

A very stimulating and challenging capstone. It is stretching and puts all the 9 specialization courses material to use. It also gives the student a glimpse of what Data Science in real life is and touches on Natural Language Processing as part of AI.

The sequence of activities in execution of the project envisages multiple interactions with your peers and unfolds your creative aspect to churn out a solution to put all the learning into practice!

Cheers, DSS team - Brian, Jeff and Roger 😁

It was a new world for me. To hard trying to dive in the subject. But the bases and the effort to research in literature and in the foros let me develop a model of a beginner but with great knowledge to apply in new developments in my work.

The assignment was designed very well. I struggled and was thinking of giving up. I'm glad I didn't. The assignment actually required all skills I learnt previously. A bit time consuming but achievable. Thank you very much!

Was a great course. There was no hand holding, this is the capstone so it was time to put everything to use on a problem that wasn't outlined for you and required you to self study and work with others to deliver.

Great way to end the specialization because it forces students to think on their own and be resourceful. It is a totally different type of analysis than on any previous course so it was a great learning experience

Amazing project! At first glanse It looks strange, but de facto it's standart data science problem: you should analyze raw data, clean it, build some models and make data product. I highly recommend this capstone.

Excellent to start in data science. Nothing learned deeply but you understand how you can improve. Now I can improve by my own or choose other courses based on my experience, interest and capabilities.

Thanks for this competitive task! For me the text processing seems to be the most interesting part of data science. I believe, this knowledge will help in my future projects. Johns Hopkins is the best!