Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM
About the Course
Top reviews
BS
May 20, 2020
Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
SA
Apr 22, 2020
The lessons were short and easy to follow, providing all the basics as well as a few more advanced topics, to get student quickly up-to-speed on databases and SQL and their application in D/S realm.
351 - 375 of 1,937 Reviews for Databases and SQL for Data Science with Python
By A R
•Dec 2, 2020
Awesome course for getting started and learning the foundation for relational databases and SQL!! Highly recommend
By Olagoke A
•Jun 7, 2020
Well delivered and detailed... The most interesting part is the ability to access database using Jupyter notebook.
By Patrick M
•Jul 9, 2019
Some of the labs are hard to follow when they are not in jupyter notebooks format but other than that great course
By Kobi Z
•Feb 4, 2019
Great course! just verifying IBM cloud help desk is more available. (although i learn the cloud trouble shooting)
By Enrico G
•Mar 20, 2022
Very interesting course with real-world example and exercises. It will definitely be useful for any data analyst.
By Cameron W
•May 3, 2021
Extremely informative and interactive course that will have you ready to use SQL in real, practical applications.
By Abhishek P G
•Jul 6, 2020
I learned a lot! A good pace and some fun activities. I am already implementing some of this stuff in my teaching
By chaofan z
•Dec 19, 2019
I recommend this course: each class has a super clear explanation with detailed exercises.
Thank you for the class
By Sandra L R O
•May 5, 2019
This is a useful course, practical and useful, where you can build and deep your knowledge in SQL and it's tools.
By Charlie K
•Nov 9, 2018
Loved the basic SQL refresher as well as how SQL and Python interact which was brand new to me and very valuable.
By Trust O
•May 5, 2022
Amazing course. I like the vastness, connection and exposure to different areas of handling data and databases.
By Abel S S
•Oct 3, 2021
Excellent course, the final work helps a lot to demonstrate what has been learned and I really enjoyed it a lot.
By Ryan c
•Dec 31, 2020
A person didn't follow the grade instructions and I hope a standard answer is provided to this final assignment.
By Kanapuram S P
•Dec 26, 2020
Excellent Course !! The Lab and the Content is so simply organised that a student with no background can follow.
By Fitrie R
•Aug 31, 2020
very well explained! having null knowledge of SQL would not be necessarily worrysome. course really help thanks!
By Jose A C
•Aug 17, 2020
Excellent course. I learned a lot of useful information and had a good time doing so. Would highly recommend it.
By Aravindan N
•Aug 3, 2019
An excellent course for introduction to SQL and python for accessing SQL. Easy to understand and follow lessons.
By Saurabh K
•Mar 25, 2022
this is very good platefrom by provide coursera and we are leran Databases and SQL for Data Science with Python
By Miguel V
•Oct 1, 2020
Great Course. Would've liked more storage space in db2 to upload my own data and play around with it using SQL.
By Na M
•Oct 16, 2019
Well designed and a lot of practices. Hope there is an advance SQL class that I can continue to improve my SQL!
By Livingstone M
•Mar 15, 2022
The best practical course I have ever done. I like the really world dataset exercises.I recommend it to anyone
By aditi m
•Oct 7, 2020
Very interesting course for beginners and would recommend for people who want to learn SQL queries and ibm db2
By Abdul M M
•Sep 3, 2019
It is very helpful to understand the databases and it has many practical applications related to data science.
By Hamza a
•Jan 11, 2019
Excellent course for those who has some basic knowledge of SQL and the last module is the plus of this course.
By Wilfredo A
•Sep 17, 2018
Excellent introduction to databases and data management through IBM API and SQL magic. Very interesting tools.
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