Chevron Left
返回到 Databases and SQL for Data Science with Python

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

13,906 个评分
1,685 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.


601 - Databases and SQL for Data Science with Python 的 625 个评论(共 1,691 个)

创建者 Ben M

Jul 22, 2020

Great course to get familiar with SQL and Python combined

创建者 Hong W

Jun 3, 2020

Vey good course for understanding the basic query of SQL.

创建者 Volodymyr B

May 27, 2020

Thanks for this course. It was very useful and intresting

创建者 Alejandro A

Apr 23, 2020

Really interesting and difficult!! really learned a lot!!

创建者 ibrahim d

Jan 14, 2020

I had some issues with the Labs, otherwise a good course.

创建者 Nakka p R

Jan 14, 2020

great course you can understsand the concepts very easily

创建者 Dan R

Jul 30, 2019

I found it challenging as I'm not that familiar with SQL.

创建者 Nikhil B

Sep 25, 2018

Great Content and Labs, learned a lot more than expected!

创建者 Camilo E

Mar 13, 2021

Very good course. I learn new things and practice a lot.

创建者 Tirth J R

Oct 16, 2020

Awesome Course Beautiful Exposure And Lovely Explanation

创建者 Kishan K S

Sep 22, 2020

Amazing course to explore and manipulate data using SQL.

创建者 Alvaro F J L

Sep 6, 2020

Amazing opportunity, well teach and engaging experience.

创建者 Christian O T

Jul 17, 2020

The best way to study online. I really love this course.

创建者 Joseph B

May 9, 2020

Great course and a fast intro to SQL based on real data.

创建者 Wenjing W

Apr 21, 2020

This course is really helpful, and friendly to beginner!

创建者 mahesh C

Apr 12, 2020

this is so basic course adding more would be beneficial.

创建者 Aneel K P

Jan 27, 2020

This is a good platform to learn SQL.Thanks to COURSERA.

创建者 Maksym C

Oct 6, 2019

Good examples, detailed tutorials and real-life datasets

创建者 Ariful H K

Aug 27, 2019

Best course for the beginners learning Database and SQL.

创建者 Olli

Mar 24, 2019

Great introduction to SQL and relational database theory

创建者 Anh Q P

Dec 20, 2020

This course is very good for someone who is new to SQL.

创建者 Oscar P

Jul 1, 2020

Excellent course and very well explained and organized.

创建者 Edward M M

May 4, 2020

great course, applied knowledge to real world examples.

创建者 Steve M

Jul 12, 2019

Best overview of SQL that I have come across so far....

创建者 Anas K

Jun 14, 2021

Coursera Help Me to Build & Learn about Data Engineer!