It is a basic introduction to Data Science, being the first course in 10 10-course specialization series, this one was fairly easy. The Quizzes are entertaining and easy to medium but not too difficult. It forces us to be analytical and someone who observes and reads between the lines. You can easily pass this course if you have real curiosity, I was unsure but they sure made me enthusiastic to pursue this specialization further.

A really useful and broad introduction to the data science world! I really enjoyed the organization of the course, as well as the speakers. The only reason because of I am not giving 5 stars is the reading section. Although all provided articles are useful, sometimes they contain some technical jargon not explained in the lessons (because it is an introductory course). Overall, an essential introduction to the specialization.

Very very detailed which is something I like. Only reason I didn't give it a full five stars is because the last quizzes in course 1 of this specialization were locked over a weekend. I'm guessing many factors in this decision were at play but I definitely am excited with what Coursera offers and was without Coursera for a sunny weekend. I'm hoping the rest of the courses in this specialization don't have any locked portions.

The content formed a great introduction to the subject but I felt that the quiz-format and peer-reviewed task could have been a little more challenging. I feel that the ease of the questions devalues the course somewhat. The questions should require understanding of the topic rather than purely 'copy from the text' style answers. But, I want to re-iterate that the content and quality of the information provided was excellent.

Generally good content. This is good for beginners with little or no background to Data Science. Some topics were a bit mixed up with each other; but all put together the content was good for a beginner's course.

It may be good to add some videos / content from real life corporate stories. Right now, with most of the videos being of academicians, the application of data science in corporate / business scenarios is not emerging

Great course for starting with the data science. I really liked the format of asking the real data scientists the questions about their work - their insights were very helpful.

Giving 4 out of 5 just because of the quizzes - they test some strange knowledge, like "in what company worked the person who said that thing". About 50% of the questions, including the final exam, are completely unrelated to the data science topic.

Excellent effort by whoever designed this course, however i think the course should include some real life case studies to better help understand the Scope of the field of data science. Or some real life examples like my instructor once told story about how Facebook and Walmart and some other business giants have used data science to reach success. it will kind of help motivate fresh graduates to move into this field.

First, I'd like to say thank you for providing me the opportunity to learn skills that feed my curiosity.

I'd like to point out that I failed to realize that one needed to share their final submission via a link, and post them in the discussion board. There may be more people after me that make the same mistake, so may I suggest adding an extra reminder/instruction regarding the means to complete the final submission.

4 stars means i give positive review. Minus 1 Start, as for example for this: In the “Many Paths to Data Science” video, what did the speaker initially want to be before finding data science more interesting? -> such quiz questions are so annoying. My review is not influence by one human voice that was soooo annoying - no idea what USA dialect is that, but my ears ache when I hear those eaeaaeaea waves...

A well-communicated introduction that provides a succinct summary of the field for those interested in a career in it but unsure where to start. After completion, I now feel I have a much stronger understanding of what I need to learn and the skills I must develop. I would have preferred some more hands-on exercises, but on balance the content is appropriate for an introductory course such as this.

I started on this course and encountered various issues on course 1. I was not able to open the video or the pdf file on the topic "Data Science: The sexiest job in the 21 st century". But the issue was with my internet service provider which was trying to stop access to the IBM Cloud. When I sorted this issue, everything went very well and I earned a certificate after completion of the course.

Its an absolute wonder of a course, especially the structure of the course/quizs and summaries. However, i felt like theres a huge amount of new vocabulary, combined with a fast stream of new information due to the fact that this course seem to have a very high density of information- in my opinion of course, which made it hard for me to grasp thinsg fully even after replaying and rolling back.

Please be consistent when asking true/false questions. Sometimes you put true first and sometimes you put false first. I selected the incorrect answer to a couple of the true/false questions because I instinctively thought the first response was true and second was false. I should pay more attention, but setting up the answers consistently would probably help students achieve better grades.

The course videos and assignments are solid, until we get to the final assignment. As an educator myself, I appreciate the value of peer-reviewed assignments. However, I waited over a week to get 3 peer assignments to review in order to finish the course. It might be ideal for students who are waiting only for their peer reviews to be permitted to move onto the next course while they wait.

It's a super super introduction to data science. Best for high school/undergrad students with no experience in data science or related fields. Not even introduction to concepts as it dances around those, but more of a first-hand perspective from data scientists and educators of what data science entails before anyone should decide whether or not to move forward on a career in data science.

Very well structured and plenty of interviews with really experienced people (Academia, Business and Experts). The slides catch our attention and the articles are very good. The only thing I'd recommend is to unlock the pdfs files, we can't copy or highlight anything in the files, beside that, would be hepfull to have the transcriptions of the audios in a text file format (word, pdf etc)

This course provides a good overview of what data science is, what data scientist do across different industries and the skills they possess. Having interviews with professionals within the industry give it credibility. I wish in some of the example they went a bit deeper into the mechanics and approach, but I suppose you can only accomplish so much in a broad, introductory course.

Course was overall very helpful to get you situated in the world of data science. Don't scoff at how "big picture" this course might seem. This is the stuff that helps you talk about data science without sounding like you're clueless. However, there were slight issues with audio quality and text typos throughout. Removing a star for those issues, but overall it was a good course.

Solid content, presented well overall. Guidance for Watson exercise does not match up with current Watson interface, so some extra effort is required to fill in the gaps and complete that exercise. May be more challenging for some folks than others. Final quiz and grading do not line up with course materials, leading to confusion. In summary, good course but needs a few updates.

The course provides a good definition of data science and a data scientist and it's different uses in the industry. In the industry, data science is again divided into data engineering, data science and data analytics and employers are also hiring for these as 3 different roles. It would be nice to provide an explanation on these different roles as part of data science course.

This course served as a solid high-level introductory course to Data Science as a topic. I feel confident in explaining the very most basic concepts of this topic thanks to this course. I think the course could be improved by including more examples of what Data Science projects look like. For example, data visualization is mentioned frequently, but there are no data visuali

Sería bueno que nos enseñarán las herramientas aparte de explicar que son en este curso, para tener una introducción a lo que uno va a aprender y motivarse mucho más, de nada sirve que te expliquen que es lo que vas a manejar si todavia no sabes como hacerlo, no puedes saber si eres capaz o no. Pero de resto me gustó. La ciencia de datos es algo impresionante y maravillosa.

The course is good but the support in case of issue is absent or very slow (at least).

When I try to repeat a quiz that I did not pass, the website just drag me again in the summary page in a kind of infinite loop.

How many days shall I wait prior I can re-do the quiz? I do not infinite time to study and now that I have the it I am stuck on a quiz that I can't repeat.

Awful.

This was my first course in the Data Science Domain and I'm happy I followed through with it. Learning to online courses require perseverance unlike a classroom course where you are under obligation to learn and this course had very apt study materials. The peer graded assignments is a real motivator; Knowing there are others out there grading your course and vice versa.

Videos and reading materials are excellent. Videos explains the concepts of Data science, Data mining, type of data, who and how data are generated accumulated very beautifully. Narration by key figures is also very helpful. Only complain is with reading materials, it seems is copy of pages from book, I think document style layout will be readable and more eye friendly