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

Оценки: 15,106
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


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!


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:

1526–1550 из 1,937 отзывов о курсе Databases and SQL for Data Science with Python

автор: Ashee G

25 мар. 2022 г.

A good course to brush up on your basics and get hands-on practice for the same.

автор: Peggy L

5 апр. 2021 г.

nice. but I have a problem using IBM cloud even after my successful registration

автор: GK M

2 июля 2021 г.

Excellent course. helps to jump start on the journey of data science using SQL

автор: Anh D

27 сент. 2020 г.

I have learned more about SQL after the course, but we need to practice more

автор: Giulio F

5 мая 2020 г.

I was expecting more difficult queries, both in the lessons and in the tests

автор: Sarra A

18 дек. 2018 г.

could've used more practice/labs but the course was great overall. Thank you

автор: Keunki L

15 сент. 2021 г.

I need more higher course for data science. please recommand me more course

автор: Manthan U T

9 дек. 2019 г.

In week 4 assignment my jupyter notebook won't connect to the ibm database.

автор: Ömer C G

29 апр. 2022 г.

I struggled with most was using IBM's DB2. IBM cloud was complete torture.

автор: Malege T M

26 авг. 2019 г.

A great course to equip the learner with foundational knowledge and skills

автор: Reid N

9 июня 2019 г.

Very basic course that teaches you the bare minimum of SQL to get started.

автор: Pratik P

29 окт. 2021 г.

many practice questions, and good pace video to explain database objects

автор: Anastasiya K

12 февр. 2021 г.

limited. Lack of explanations and use cases. Especially, in JOIN section

автор: Vonda B V A

25 февр. 2020 г.

Really help me to re-understand basic SQL. It's suitable for a beginner.

автор: Barbora T

11 сент. 2019 г.

Well explained, but both the quizes and the final project were too easy.

автор: Ivan L

12 авг. 2021 г.

Good basics, however it is far from using it for the real data analysis

автор: Rahul C

19 авг. 2020 г.

Great Course, the addition of some more practicals will be appreciable.

автор: Karan S

13 июля 2020 г.

Course content is very good but faced problems while running IBM's DB2.

автор: Pascal B

12 сент. 2021 г.

Better structured than the previous one, but still all over the place.

автор: Wen J

12 янв. 2020 г.

some repetition and some instruction for log in and setup is outdated.

автор: Sharvari U

16 окт. 2019 г.

Datasets could have been proper. column names are too much mismatched.

автор: E. R " A

29 сент. 2019 г.

i have not done any SQL for years! The course help bring it all back!

автор: Du Q T

4 янв. 2019 г.

This course is good for beginner which has little knowledge about SQL

автор: Muhammad A R

12 окт. 2018 г.

Covers all basics of SQL and methods of accessing of SQL with Python.

автор: Swati M

22 мар. 2022 г.

This databases and SQL for data Science with Python is very helpful.