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

I took this course to refresh my SQL skills. In general, this is a good course, but I think there was a little practice. It will be more useful for students to be required to do more tasks and assignments for asessments.

The course provides an introduction to SQL but some arguments - such as basic syntax - are only presented and not explained in-depth.

On the other hand, the second part of this course features very interesting labs.

Issues with DB2 loading tables apparently due to different versions was the only technical problem encountered by myself several others (see forum) made me loose a lot of time. Otherwise this is a great course.

It will give you an idea of what can you do with free databases resourses using sql to manipulate relational databases. you'll also utilize jupiter notebooks to query data connecting the notebook to a database.

This was a very interesting course. It was harder than it needed to be due to a few errors in code, but that also made it more interesting and challenging to verify that you were retaining the information.

Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.

Most of it really good. I think joins should be covered in the base material and there should be less of an emphasis on sub-queries. The Peer Reviewed final was a little confusing in its questioning.

A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!

Much important instruction was missing which lead to a delay in submission of the peer assignment. Various errors popped up which had no solution in the discussion forum also. Kindly look into it.

Covers the basics, but might be a little difficult for a complete beginner. Manageable, but difficult. Needs more help using SQL within a Jupyter Notebook which should be in the earlier labs.

Overall is a nice course. It was a bit confused because Handson Lab related to each other. It would be nicer to have a short remind from previous labs or better to keep labs independently.

Course was well organized, I found the lab exercise to be useful in learning the material. The quizzes and final project were fair and tested my knowledge of the concepts. Great course!

I liked the way this course is structured and I am really happy with the kind of exercise it contains. It would be really great if more details regarding the python script was provided

Good content. I have learnt a lot :) Please improve the uploading files for the tests. There were several loading errors coming from the files which should not happen at this stage...

It was good for basic knowledge of SQL. It would be better if we could understand more on Joins, Grant functions. But thanks for the great work. It was really good for me personally

There lack of guidance for those who get stuck. The instructors are not available to guide. The discussions might look helpful but they consume our time or say waste a lot of time .

(MINUSES) Was Not enough coding practice, some tech difficulties with DB2 and SQL, not responsive on forums, 24hrs response should be the practice

(PLUSES) otherwise, great course!

The course starts from the basics but progresses to intermediate level concepts in SQL, like joins and subqueries, which are required for day to day work in the Software industry.

This "

Databases and SQL for Data Science" course was good. I learned too many new things and it really helped me by providing fundamental knowledge regarding databases and SQL.

"

This was an excellent course even though it was challenging. I was able to move from introductory SQL to Intermediate level. I really, really enjoyed the practice exercises.

A really good course. The lab assignments improves the efficacy of the course and enhances your conceptual understanding of the requirements of cloud databases in data science

I am so much glad to learn Databases and sql for data science and completed my certification.

I strongly recommended this course who does not know any thing about database.

There are many technical issues in IBM Watson Studio but due to the availability of peer community, the messages in discussions helped me a lot to completed this course.

need to to updated. details regarding IBM cloud is messy and outdated. take to long to connect the cloud. videos slides are of bad resolution. instructor voice not clear

Not bad, but for me, again, is to many online tools. From my point of view, some Docker Compose with the prepared container(for bd, for notebook) will be more suitable.