学生对 IBM 提供的 Databases and SQL for Data Science with Python 的评价和反馈

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Of the courses in this professional data science certificate I have taken, this is probably the best designed one. The labs force you to think and apply what you learnt in the video and not simply make minor modification to example codes. By the end of the course, I have internalized some of the commands. Overall, the labs were rather effective at drilling the concepts into students.

Some of the labs in the second week were rather lazily written. Instead of asking students to practice what they saw in the videos, all labs should contain actual questions that ask students to apply what they have learnt to new examples and problems, forcing them to think about what they have learnt.

The grading system is also in need of improvement. Some graders do not seem to know what they are doing. Simply resubmitting the assignment can result in a drastically improved score simply because the first grader was marking down answers that were actually correct. Perhaps there could be multiple graders assigned to any single assignment and the average score taken, or something to that effect.

This is a great course and I particularly appreciated the integration with Python/Jupyter notebooks. As in previous courses in the IBM certificate program, the labs were the highlight. They challenged students to answer questions using real data sets. Going from start to finish - from sourcing and downloading data all the way to analysis - was very helpful in mastering all of the techniques.

A couple of sections felt out of place: in my opinion, the optional database schema topics could become a separate course of their own, while the section on joins deserved more attention. The lecture slides, with the pictures of interconnected tables, were a bit hard to read and could do with an upgrade. Overall though, great pacing, with easily digestible videos. Highly recommend.

I propose you to put all the option chapiters in a advanced certificate for this course.

It was "a long journey" for me but I was motivated to complete this class.

Thank you very much.

I do love your videos and the Hands on lab.

Please note that before taking this class I knew nothing in coding in sql and python!

But now, I appreciate it and find it very easy to understand!!!! I'm sure that your good way to teach this class using all the matreials has contribuated to help me!

I m going know to buy 2 books: for more advanced knowledge, one in sql programming and the 2nd in python for data science!!

Thank you very much

👌👍👌👍😍😍

This course is good for anyone who is a complete beginner, new to, or looking to refresh their knowledge of Structured Query Languages (SQL). Ideally would have liked to have a lesson on optimizing SQL queries since many queries become inefficient for data tables with very large row counts, but I understand this didn't make sense since the free IBM DB2 database they have you set up has a size limit of 100 MB. No need for optimization with data this small, but it's still something they should have at least mentioned in the course as an optional lesson. Overall, nice course for learning or refreshing SQL and database concepts.

The instructor and course materials are very good! But the peer reviewing for the assignment is NOT well-organized, as one problem in my assignment was not graded correctly, and obviously it's a "trembling hand error" made by the grader. Coursera has in-built mechanism to prevent such error: it uses median grade for each problem as your grade. But this mechanism only works if each problem is graded by enough students, which is not the case in this course based on my observations in the forum. I would suggest the course designer to require each student to grade at least three assignments before they can earn the certificate.

The class was very enjoyable and very easy to follow. My only complaint is that if the final assignment is going to be assigned such a high weight, then it should require more than 1 person to review it. My assignment met criteria to receive full points, but the person who graded mine clearly blew through it and assigned me partial credit where I should have received full credit. I still passed and enjoyed the class, but it was frustrating to successfully complete the assignment only to be dinged by some inattentive grader.

4 stars only because I think the intended coursework is pretty good but to be honest the execution is pretty average. The course will be much better if the mentors are more active in the the discussion. Right now the discussions in the forums are mostly driven by the students in the class and it will be better if the supposedly mentors are move involved to provide support. Some of the courses in edX are pretty solid in this area and I think it really adds to the overall learning experience.