Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM
About the Course
Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from
databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will:
-write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT
clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges; ORDER ...
Top reviews
BS
May 21, 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!
JT
Apr 26, 2023
Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.
126 - 150 of 3,209 Reviews for Databases and SQL for Data Science with Python
By Peter
•Feb 16, 2022
Dont recomend to take this course, They charge you additional 200$ for acces to their DB database
By Farrukh N A
•Jun 17, 2020
Sadly, this is the most confusing and error riddled course among all of the courses on coursera.
By Adi B
•May 29, 2020
Awful course, with very hard to understand assignments and instructions. Would NOT recommend.
By Philipp L
•Apr 10, 2020
The IBM Watson Cloud needed for the assessment does not work and I can't use the console.
By Johann Q
•Sep 1, 2019
Boring course. Not application based. No learning by doing.
Boring and monoton lectures.
By Jorge P
•Jan 10, 2022
The resources needed to complete this course are not working. Support is very poor.
By Marcelo J d C
•Mar 9, 2020
simply the instructions for the final task do not work. very poorly designed course
By Olivia K
•Jan 31, 2021
No help from instructors, not sufficient learning tools for those new to SQL.
By Anirudh S
•Apr 21, 2020
terribly conducted course. 0 help and support for the programming. horrible.
By Walid M
•Jun 21, 2020
Labs on IBM Cloud are not working, it's not a course it's a bad joke!!!
By sachinK K
•Aug 16, 2018
No response to any queries in the discussion forum. Unable to proceed .
By Задойный А
•Feb 22, 2020
Бесполнезно. Всё равно что прочитать оглавление к документации по SQL.
By Gregory B
•Nov 24, 2023
The DB2 stuff is garbage. It should be removed to focus on sqlite.
By Ümüd O
•May 14, 2020
Terribly poor designed course. Video content very dissatisfied.
By Tan G T R
•Jul 27, 2020
Very buggy course for it to be enjoyable. Not exactly worth it
By Mahek M
•Jul 23, 2021
Instructions regarding peer-graded assignments are not clear.
By Simona L
•Aug 8, 2019
I had extremely bad experience with IBM db2. Do not recommend
By Norshuhaida B A R
•Dec 15, 2020
the theory is very complex and difficult to understand.
By Mill L
•Jul 7, 2020
Rubbish, I don't even understand why its rating is 4.7.
By Giorgos K
•Feb 21, 2022
Several labs could not load
Returned bad gateway error
By Puja S
•Sep 5, 2022
I cant get my certificate even after completing it.
By Lulu A
•Nov 3, 2021
Does not grant you a certificate at the end.
By Mateusz K
•Jan 21, 2020
Tragic
By Amulya G
•Jul 30, 2024
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.