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

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.

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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 details regarding IBM cloud is messy and outdated.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.

​greate class. Took me longer to complete these one. But over all a greate class. It got me the data analyst position I currently have now. with almost double my pay.

Course was great but RDBS in browser was so slow that i need to wait for couple of minutes to create a table. Thankfully, doing the same in python took few seconds

Tough start, really boring material and I hoped I never needed to work with SQL. Later though it started to click a bit better and was (slightly) more enjoyable.

This course is best for beginners to get started with the database and sql with ibm cloud. But the content can be improved more as the assignments is concerned.

Teaches pretty well for people like me that had none previous knowledge in SQL.

I think that could tell a little bit more about SQL outside the IBM platform.

I feel the videos could be more explanatory and should explain some of the concepts a bit more in details. Rest everything was good especially the labs.

I personally already knew a lot of what was covered, but I can also say that they did a great job of explaining SQL for someone who has never used it.

Troubling loading the crime.csv dataset and there was no much support from the team. One has to search a series of options which wasted a lot of time

the line fir writing code in jypiter notebook were limited to one line,

therefor writing code especially in the final assignment was a bit complicated

Very useful hands-on labs looking at real-world data sets. Some of the learning material seemed overly complicated, or I would have given 5 stars.

Excellent course for a beginner to learn in detail if we put a little extra effort, as well as experienced person to learn to work on real data.

It is a great experience after all to learn extracting data from multiple tables with subquery & implicit join.

This is definitely something new.

This course is good but little bit fast. Videos needs to chunked down as too many things get covered in single video without proper practice.

Un bon cours concernant l'usage du SQL. Il reste nécessaire de s'appuyer sur des ressources extérieurs pour appréhender au mieux le langage.

This is just a basic course. The course equips you only with basic knowledge of SQL even after completing the honors certificate of week 6.