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

15,111 个评分
1,920 条评论


Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....



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!


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.


1776 - Databases and SQL for Data Science with Python 的 1800 个评论(共 1,937 个)

创建者 andrew

Feb 13, 2020

Not as strong as the other offering in the specialization. Slide need a bit of work.


Oct 2, 2019

I have many problems when I do my assignment, I think the class don't teach very well

创建者 Michael B

Aug 17, 2021

Good Course, but I missed slides for reading and some exercises are a bit ambiguous.

创建者 Mauricio P

Apr 7, 2020

In this particular course, I was having a lot of issues with the IBM technologies.

创建者 Jeffrey L

Jun 18, 2020

I wish there could have been easier ways to learn this course outline. Very hard!

创建者 Christopher B

Feb 11, 2019

This is a logical extension of the certification, but the interfaces are clunky

创建者 Elena E

Oct 13, 2021

Multiple issues with labs, ambiguous quiz questions. Overall material is ok.

创建者 Robert L

Jun 11, 2020

Good content, but issues with the IBM databases/servers slowed things down.

创建者 Andrew C

Apr 7, 2019

Overall the course is satisfactory although some areas still need work.

创建者 Mason C

Dec 21, 2019

Need more real-world data on hand practices. Practises makes perfect.

创建者 Anup U

Jul 30, 2020

this course is good for learning mysql with python and ibm cloud

创建者 parikshit k

Sep 1, 2020

Interesting & Challenging. Gr8 course but not for every soul.

创建者 Sanja M

Sep 1, 2019

There are not enough exercises and videos are almost usefull

创建者 Emily

Oct 9, 2018

Easy to follow. But not explained why should it be in detail.

创建者 Varun B

Mar 22, 2020

It is a good course to learn SQL and Python interfaced DBMS.

创建者 Niklas M

Jun 6, 2019

Good course, however, it uses a lot of IBM specific tools.

创建者 Deleted A

Jun 16, 2020

Videos in each week can be repetitive and/or overlapping

创建者 Xin Y L

Dec 1, 2021

Skill Lab always down. The questions are ambigious.

创建者 Жигмытов Ц

Sep 20, 2020

Need more practice and less IBM advertisement =)

创建者 AntoStain

Sep 10, 2020

The exercises should be more challenging.

创建者 Rohit G

May 11, 2019

Awesome course. Please also provide job.

创建者 Abdullah A S S

Aug 3, 2019

dude make the course a bit more human

创建者 Malini B

Mar 31, 2021

Shows a lot of IBM cloud error

创建者 Nitin C

May 28, 2020

found it a tad bit challenging

创建者 Albert A

Apr 15, 2022

the lab is hard to access