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Avis et commentaires pour d'étudiants pour Databases and SQL for Data Science with Python par IBM

15,312 évaluations
1,950 avis

À propos du cours

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....

Meilleurs avis


20 mai 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!


19 août 2020

A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!

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1576 - 1600 sur 1,972 Avis pour Databases and SQL for Data Science with Python

par Du Q T

4 janv. 2019

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

par Muhammad A R

12 oct. 2018

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

par Swati M

22 mars 2022

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

par Salil R

15 mai 2020

I already did that in the feedbck. It is Good I enjoyed a lot.



12 août 2019

The course is really good for the beginners who want to learn SQL.

par 徐沛羽

27 janv. 2019

Materials are very easy for me because I have learnt sql before...

par Pipes M

13 mai 2019

The materials are good but it is difficult to get help if needed.

par Dalil A

10 déc. 2020

Lots of very usefull labs, practicals quite intense, good course

par Akshay K S

18 nov. 2018

good to learn about new function of phythone and data analysis

par tyler m

9 janv. 2020

Would have liked to learn more about connecting to other DB's

par Anshul K

30 mai 2020

Very basic. Good introduction to SQL with Jupyter Notebooks.

par Abrar

28 nov. 2019

its interesting course but need to add more practical lesson

par Ravi K

8 déc. 2018

Good Refresher Course and I like the Final Hand on Exercise.


9 mai 2022

Good course! Basic and intermediate SQL with basic Python.

par Choy H P

24 avr. 2022

V​ery compact, quick and clear explaination by instructor.

par Gergana T

13 juin 2020

I little more exercises my be useful for beginners like me

par Larbi G

1 oct. 2019

a good intoduction to RDBMS and data manipulation with SQL

par Noerlina P

16 déc. 2021

The course is amazing, but some hands on lab had errors..

par Igor S

23 nov. 2019

Very usefull for beginers. Week 3 and Week 4 are awesome!

par Neil D

8 oct. 2019

Good course. Tutorials for IBM Developer could be better.


29 mars 2019

Good course for beginners and very good practice content.

par Javier I R

3 déc. 2021

Nice course to get into SQL. A little long to my taste.


11 avr. 2019

Um, equips students with the top range basic knowledge

par Jennifer L W

2 janv. 2022

Great course! It was challenging, and I learned a lot.

par martin d

10 juin 2020

faltarían algunos ejemplos de Oracle y otras databases