I don't think this course fit for beginner. It mostly introduces to you application, potential machine learning, which you are likely to have learned in the internet, right? Taking this course may sap out your momentum. In fact, some of its information is helpful for ones learning or have learned the basic machine learning (algorithms).

It's an introdutory course, but it has interesting videos and texts. The main problem with the course, that is related by many users in forums, is the problem to activated the IBM Cloud license, that is essential to get certification. I had the problem the get the free license during the course, and had to spend some hours to solve it.

nice introduction but some questions were very specific to the text in question. even if I responded them correctly it doesn't mean that I learnt something useful for data science or that I will remember the answer a day after. Also I can tell that most of the content is from 2015. I t would be good to update it every couple of years.

A very general course about data science and data scientist. I would not say I learn a whole lot but a good high-level introduction. The exercise walkthrough steps are not in line with the most recent IBM Watson screens. The exercise content needs some update, it took me some explorations to achieve what they exercise wanted me to do.

I give this short course a four-star review because if you are looking for a stand-alone class this probably won't help you out too much. However, if this is part of a course track this is an absolutely an incredible introduction that gives you an idea of how vast data science is and how you can start to scope your focus and studies.

Excelente el curso! me gustó mucho haberlo hecho y aprendí más de lo que imaginaba. No pongo 5 estrellas porque creo que debería estar subtitulado a más idiomas. Lo pude hacer porque estudio inglés pero el idioma es una gran barrera para democratizar el conocimiento.

Salvo eso, excelente el curso, voy a seguir con el plan de carrera.

This course helped me finally understand what data science is, as well as get a realistic understanding of what data scientists might do, what you need to become a data science and what kind of compensation data analysts receive. My only critique is that it doesn't talk about the data science career outside of the phD-level track.

A good start for beginners in the field of data science. I expecially love the interviews with experts in the field. The reading. A thumbs up for the coursebook; very interesting. The peer assignment helps a lot. The final exam, however, did not test critical thinking skills as does the peer assignment. Overall, a rating of 4.5/5

Solid introductory course. No technical experience required. It provides a basic understanding of the data science field and the professional skills required to work as a data scientist through a very short series of videos and readings. If the purpose of this course is to provide the answer to the titular question, it succeeds.

The content overall was very good. However, I do not see the value in some quiz questions. Asking which org was responsible for publishing a report is not the kind of knowledge I will value long term. A greater focus on the key skill details may be better. The professors and grad students that were interviewed were excellent.

Gives an excellent overview of the field of Data Science and related topics - Big Data, The Cloud, Data Mining, Machine Learning etc. However, there are no substantial tasks (that's why I give it 4 rather than 5 stars). The exercises and quizzes are intended merely to check that you've understood what you've watched and read.

This is such an amazing course and i found it really interesting and totally different from other online courses.An introduction about the course is the most important thing instead of starting the course directly into the subject.This course really helped me find out what actually data science is and what data scientists do.

Very good overview of what Data Science is, definition of concepts and field of applications.

The last Reading / Assignment is worth for any professional field, as it explains the structure a Report shall have. As the author explains, this is not only a lack of knowledge in undergraduate, but also in doctoral professionals.

It is a good course but stretched too long. It just introduces the concepts and definition of Data Science and gives an idea of what one does being a Data Scientist. It could've been summed up a lot quicker, but there were many repetitive reiterations of the same thing. Otherwise, it's good for a basic introduction.

This course will set you as a introductory course for Data Science. You are not going to learn any methodologies or software here, but for someone who is considering Data Science as their career path. this course provide very good insight from current data scientists background and also some insight of their projects.

The course is an aide that provides greater understanding on what data science is and the people that should consider a job in the industry. It was helpful for me personally because I was uncertain that I was on the correct path in considering a data science career. I believe I'm finally starting in the right place.

This course is based on data science basics and provided me a lot of information about the data science field, how data scientists work and what they do, scope of data science field. Much thanks to IBM and coursera for providing such courses to students that enhance their knowledge about the modern trending fields.

The course is a very good introduction to the subject matter. I am glad that I took the time to go through everything so that I could understand what data science exactly entails and how to go about educating myself in it. It has sparked an interest in me to continue on my journey of self education in data science.

It was interesting to hear the opinions of the different data scientists that were interviewed for this course and finally to be introduced with the book "Getting Started with Data Science" by Mr. Murtaza Haider, Ph.D.

The other professor, from the NYU, talked too much, and unfortunately too much about himself. :)

This course was well put together and provided me with more information than I expected. The only issue I had was with the IBM content slides/ screenshots being outdated and It really confused me at first because I did not expect that. However, I was able to navigate on my own but that was not an ideal situation.

pdf from the book are a few years old, and data science is a field that evolves very quickly.

Also, regarding the Watson Visual Recognition exercice: the link did not work. I registered going directly to the page, but eventually, the link was not available on the IBM could page, and so I could not do the exercice.

Preliminary course provides a basic introduction to the question: "What is Data Science". It provides an interesting, albeit brief, introduction to IBM Cloud and a couple of its features. More as an appetite whetter than sufficient to do much useful with. Looking forward to see what arises in the later courses.

The introduction on data science is clear and concise. Learned new terms such as machine learning & deep learning and felt excited to learn more on the technical functions or platforms in processing big data. There are just some questions in the quizzes and videos that I don't think is related to Data Science.

The course is great. The essential know-hows for anyone thinking of stepping into the world of data science are included in this course. The most positive part about this course is that the lectures are timed right they are neither too long nor short. Overall a wonderful and enjoyable course ! Thank you IBM !

A found to be a great motivational course and it meets the objective of giving a perspective of what it is to be a data science. I found the quizes a bit ambiguous and some of them were easy to check / deduce without even reading the corresponding documents or videos. But this course really makes its point!