Chevron Left
Вернуться к Databases and SQL for Data Science with Python

Отзывы учащихся о курсе Databases and SQL for Data Science with Python от партнера IBM

4.6
звезд
Оценки: 15,101
Рецензии: 1,920

О курсе

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....

Лучшие рецензии

BS

20 мая 2020 г.

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

22 апр. 2020 г.

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.

Фильтр по:

1476–1500 из 1,936 отзывов о курсе Databases and SQL for Data Science with Python

автор: AJITH M

4 апр. 2022 г.

Details regarding adapters and ibm db2 connection initiation from jupyter notebooks has to be improved and updated

автор: Alperen K

6 янв. 2020 г.

There are some errors in course ending assignments, however, generally course covers most of the important topics.

автор: sirisha m

10 окт. 2021 г.

Final Assignment consumed a lot of time with difficulties to connect to the database. Many have faced this issue.

автор: igor.suchilov

7 февр. 2019 г.

The course is pretty easy and basic, but well constructed and very useful for those who want to get to know SQL.

автор: Wayne K

16 апр. 2020 г.

Not a bad course. Not real intense. Sometimes instructions are hard to follow but good for a casual learner.

автор: Xingzhi Z

26 янв. 2022 г.

The content and structure are fine, but the SQL Cloud tool are not convenient to use and have frequent bugs.

автор: Christian A S

2 мая 2021 г.

La herramienta de trabajo de DB2 es lenta y poco amigable.

No me sentí cómodo usando las consultas en Jupyter

автор: Gabriel d C C

26 мар. 2020 г.

Cognitive labs is a good platform, but it is very unstable, making progress in the course longer and slower.

автор: Chase B

21 дек. 2019 г.

Good course material - would suggest finding a more viable solution to grading assignments than peer-review.

автор: Mantra B

1 сент. 2019 г.

Good method of teaching and easy to understand content and language.

More Practice labs would be appreciate.

автор: Gabija K

18 янв. 2020 г.

The instructions are too old, does not always goes together with changed structure of website and tools.

автор: Monica N

29 апр. 2022 г.

T​his course was not simple at all,

I​t gave me the right skills I require to manage and query databases

автор: Tamires B

11 нояб. 2020 г.

Great course for beginners. There are a lot of exercises that really helps gaining confidence with SQL.

автор: Raj G

10 дек. 2020 г.

It would be better if there are more advanced SQL questions in the course. Overall the course is good.

автор: Juan P

27 июня 2019 г.

Very good course. However, I didn't like the fact that this course uses just the DB2 framework of IBM.

автор: Muhammad Y

25 дек. 2019 г.

Course Was awsome but The Ibm Cloud On which LAb Depends And assignment depends Gives A lot of error

автор: Guy B

7 сент. 2019 г.

The content is clear and useful, but the videos are not attractive, so it is hard to pay attention.

автор: Mohamad Z

25 окт. 2020 г.

The course is good but there are some outdated links and the answers in the discussions are slow.

автор: Robert F

27 февр. 2020 г.

Great course. Very challenging and stimulating. However the grading by peers is sometimes unfair!

автор: Shuyuan C

27 авг. 2019 г.

Very useful course to learn SQL for we beginners. Thanks for such a wonderful course organization

автор: Oliver E A B

25 мар. 2020 г.

The course is good, but there are lots of code which one cannot reproduce in other environments.

автор: Devraj S

10 июня 2019 г.

It will we more helpful if they provide more live examples with every execution of a SQL query

автор: Reynaldo S

23 авг. 2018 г.

Week 4 was a bit intense and I think the topics could have been decompressed over one more week.

автор: Thai N

28 дек. 2021 г.

S​QL code instructed in lesson is not universal, that is not matching with SQL syntax in MSSQL

автор: Josh J

3 янв. 2020 г.

Lots of hands on skills. Some mistakes in the Notebooks make some problems confusing, though.