Chevron Left
Volver a Databases and SQL for Data Science with Python

Opiniones y comentarios de aprendices correspondientes a Databases and SQL for Data Science with Python por parte de Habilidades en redes de IBM

15,918 calificaciones

Acerca del Curso

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....

Principales reseñas


20 de may. de 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!


25 de ago. de 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone can

understand the basic fundamental of sql and database. I learn a lot from this course.

Filtrar por:

1526 - 1550 de 2,094 revisiones para Databases and SQL for Data Science with Python

por Joy B

7 de may. de 2021

por asher b

2 de nov. de 2018

por Trang N D N

8 de may. de 2020

por David A

2 de oct. de 2019

por Sonam S

1 de jul. de 2019

por Stan M

21 de sep. de 2020

por Vijaya S R

12 de dic. de 2020


18 de may. de 2020

por Irina L T

22 de nov. de 2020


14 de jul. de 2019


8 de abr. de 2020

por Judith R

13 de may. de 2020

por yma p

12 de may. de 2020

por Johnathan L

11 de jul. de 2022


20 de may. de 2020


15 de may. de 2020

por Vaibhav m

23 de abr. de 2019

por Юра Б

7 de mar. de 2019

por Mauro M

28 de sep. de 2021

por Silvia C

26 de jul. de 2022

por Saromi J

2 de may. de 2022

por Александр А

27 de ene. de 2019

por Liam M

31 de ene. de 2019

por Rahul S

10 de jul. de 2019

por Thiago S d C

19 de feb. de 2019