学生对 IBM 提供的 Databases and SQL for Data Science with Python 的评价和反馈
课程概述
热门审阅
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!
JT
Apr 25, 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.
501 - Databases and SQL for Data Science with Python 的 525 个评论(共 3,256 个)
创建者 John C
•Apr 20, 2020
Excellent Course !
Well planned and very detailed with additional information to cover all aspects of databases and SQL
创建者 Ahmed E R
•Mar 20, 2020
it was really really good
and the instructor is great and i enjoyed all the course
and i can do some pretty things now
创建者 David P
•Jul 12, 2019
Great Course to learn and understand SQL. The material is concise and to the point, but explains each topic very well!
创建者 Henri-Philippe K
•Sep 28, 2025
This course was very interesting and covered a lot of topic. I am super excited to apply my knowledge to real datasets
创建者 Leandre F
•May 22, 2023
So far the course I enjoyed the most. Information presented well. Platform to apply and practice SQL was set out well.
创建者 Ali H K P
•Feb 11, 2021
Great course, it give me a tour through SQL queries which includes some beginner level to advance level of SQL queries
创建者 Farouk C
•May 17, 2025
Excellent course, easily understandeable. Practive material is well thought and made. Clear and concise instructions.
创建者 Reinel L G U
•Aug 25, 2024
Excelente curso, muy extenso pero valió la pena, trabajo con bases de datos que nunca he utilizado como slqlite, db2.
创建者 John O
•Sep 23, 2022
I highly recommend this bootcamp for individuals who are serious about looking to break into the data science field.
创建者 Sumit B M
•Sep 27, 2020
Clear cut, concise, neat & clean concepts. Very nicely explained each and every topics with lucid examples. Loved it.
创建者 Parth P
•Mar 11, 2020
SQL is an essential part of ML. Learning through this course will surely add values to your curriculum and knowledge.
创建者 Duncan N M
•May 3, 2023
Well detailed information to enable the learner to effectively understand the whole course with ease. Thanks a lot.
创建者 Zichan W
•Mar 4, 2021
This course is well-structured and very clear. The hands-on lab is helpful to apply what you learned in the courses.
创建者 Aldy P
•May 16, 2020
I did SQL Course from Coursera from having null knowledge of SQL. Now I am ready to practice into real world dataset
创建者 BORIS A R A
•Aug 9, 2024
I came looking for copper and found gold. This course really improved my data analysis skills in a very short time.
创建者 Daphney G
•Jul 14, 2023
This course taught me a lot more than I expected. I kept coming back to an example to continue to challenge myself.
创建者 Manan D
•Jun 20, 2023
It was a great learning for me as I gained some important insights of SQL, Databases for Data Science in Python.
创建者 Sandesh R
•Jun 24, 2020
This course is very helpful for me. basically this course teaches how to connect sql with python and their module.
创建者 Azzouz B
•Sep 15, 2024
A very special course that contains a lot of useful information. I am very happy that I completed it successfully.
创建者 A R
•Dec 2, 2020
Awesome course for getting started and learning the foundation for relational databases and SQL!! Highly recommend
创建者 Olagoke A
•Jun 7, 2020
Well delivered and detailed... The most interesting part is the ability to access database using Jupyter notebook.
创建者 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
创建者 Kobi Z
•Feb 4, 2019
Great course! just verifying IBM cloud help desk is more available. (although i learn the cloud trouble shooting)
创建者 Omar S
•Jul 7, 2023
It was very useful as it was very rich in content and I became from 0 to strong foundational knowledge through it
创建者 Enrico G
•Mar 20, 2022
Very interesting course with real-world example and exercises. It will definitely be useful for any data analyst.