學生對 IBM 提供的 什么是数据科学？ 的評價和反饋

Some answers assessed come from places either not clearly mentioned or absent from the course material. However, the course is a great introduction to data science and the many applications, I look forward to completing the full certificate.

I think its really Unnecessary course. Personally I want to study data science as fast as I can, and I felt unproductive and wasting-time when I studied this course. This course should be studied at the end of data science as a conclusion

Relatively basic introduction - course material assignments felt they more rewarded recital about an author's perspective than an objective review of many perspectives. Reading material was quite light. Fine to start with though.

Decent introduction to data science through video interviews of experts.

The assignements and quizzes do not reallly test your understanding of the subject but more your ability to remember details about a video yo've seen 10mn ago.

This course explains what data science is and what a data scientist is like. It also tries to motivate you by looking at job opportunities. But a whole 3-week course is a little bit too much. I completed it in under 4 hours.

Many videos with a lot of interviews that don't really add value. The readings are somewhat interesting. The course does not scientifically explain data science, but gives a broader view of the career aspect of data science.

I think this course is only a timid explanation of what a Data Scientist student needs to learn and ithe deal personal conditions before studying Data Science. It felt more like a sellers pitch than interesting information.

Very basic. I was hoping it gets into actual data science, but it spends most of the time explaining how to write academic papers and only one task that actually uses the IBM portal for machine learning. Disappointing.

Although the introductory videos are fairly good, the quizzes don't really assist with learning or demonstrate understanding of the material. Instead, they function as simple regurgitation of points from the readings.

Information was a decent introduction to Data Science for complete beginners. But, this information could have easily been condensed into one week of a more interesting, hands-on course in data science tools/methods.

The course felt like about 40 percent information and 60 percent promotion. Materials were of a mediocre level. Perhaps appropriate for the completely uninitiated but not useful for practitioners looking to level up.

While a nice introduction to the history, I would have liked a more thorough review or citations of the seminal work in the field, of the statistical methods used, and of the code used to generate machine learning.

The final exam and some quiz questions did not have answers that lined up with the assigned readings. They were nuanced questions with very particular answers that did not correlate to the knowledge of the course.

I could see there is more of reading rather of teaching. It would be better if the reading is reduced. Especially for quizes it is meant to read only last sections. But a quiz should cover all the topics taught

This course is a bit long and high-level for the length of the course. It should go a level deeper into actually running through an example of a Data Science focused case study or problem that is instructor led.

Quizzes didn't really test for knowledge, just hyper specific questions about a video or reading. Felt like just another way to enforce honor code to ensure reading rather than understanding or comprehension.

This Course could have been shorter. Many points seem repetitive. A few questions in the course were specific to those case studies which seems not quite useful to be asked in the Short tests in between.

Very generic information, which is somewhat useless. A lot of time is devoted to students talking about the data science and I don't think people taking this course would be extremely interested in that.

The course provides a good overview of what data science for those who have no prior experience with the field. The quizzes and assignments were not particularly useful and amounted to mostly busy work.

Course was good but there was not any application portion. This was just introductory course.

I only learn what is data science and what data scientist do along with some case study.

case study was good.

Nothing technical in this course but the assignments and quiz questions are not good. Most questions just tests whether you read the article or not and doesn't test any conceptual or creative stuff.

It's useful to help me to know how professors think about the data science. But it's very basic and it is not my excepted result that I want to learn some realistic skills to help me data analysing.

Los escritos están todos en Inglés. Y cuando tenés que hacer los trabajos finales te pregunta sobre esos escritos en Inglés. Si o sí tenés que saber Inglés para hacerlo. El curso dice en Espanol.

Really basic videos and not much actual learning. Seems a lot of this information could be gathered online in forums. I guess the professional advice was helpful when considering a career option.

Showing the only expertise talks not the live tutorial how it works but overall it good if you are beginner then go for it you can better understand how can you start your career in data science