Dont recomend to take this course, They charge you additional 200$ for acces to their DB database

Sadly, this is the most confusing and error riddled course among all of the courses on coursera.

Awful course, with very hard to understand assignments and instructions. Would NOT recommend.

The IBM Watson Cloud needed for the assessment does not work and I can't use the console.

Boring course. Not application based. No learning by doing.

Boring and monoton lectures.

The resources needed to complete this course are not working. Support is very poor.

simply the instructions for the final task do not work. very poorly designed course

No help from instructors, not sufficient learning tools for those new to SQL.

terribly conducted course. 0 help and support for the programming. horrible.

Labs on IBM Cloud are not working, it's not a course it's a bad joke!!!

No response to any queries in the discussion forum. Unable to proceed .

Бесполнезно. Всё равно что прочитать оглавление к документации по SQL.

The DB2 stuff is garbage. It should be removed to focus on sqlite.

Terribly poor designed course. Video content very dissatisfied.

Very buggy course for it to be enjoyable. Not exactly worth it

Instructions regarding peer-graded assignments are not clear.

I had extremely bad experience with IBM db2. Do not recommend

the theory is very complex and difficult to understand.

Rubbish, I don't even understand why its rating is 4.7.

Several labs could not load

Returned bad gateway error

I cant get my certificate even after completing it.

Does not grant you a certificate at the end.

Tragic

I recently enrolled in the "Databases and SQL for Data Science with Python" course as part of the IBM Data Science Professional Certificate on Coursera, and I couldn't be more impressed. The course provides an excellent foundation in SQL and database management, essential skills for any aspiring data scientist. The instructors do a fantastic job of explaining complex concepts in an easy-to-understand manner. The course is well-structured, starting with the basics of relational databases and SQL syntax, and gradually advancing to more complex queries and data manipulation techniques. I especially appreciated the practical exercises and real-world examples that reinforced the learning material. One of the highlights was the use of Python to interact with databases. This integration helped bridge the gap between theoretical knowledge and practical application, making it easier to see how SQL fits into the broader data science workflow. The hands-on labs were invaluable, providing a safe environment to practice and solidify my understanding. The course also emphasizes best practices and efficiency in writing SQL queries, which is crucial for working with large datasets. The quizzes and assignments were challenging yet fair, ensuring a comprehensive understanding of the material. Overall, this course exceeded my expectations and has equipped me with the skills needed to handle data more effectively. Whether you're new to SQL or looking to strengthen your database skills, this course is an excellent choice. I highly recommend it to anyone pursuing a career in data science or looking to expand their technical skill set.