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

4.6
étoiles
15,106 évaluations
1,920 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

BS

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!

SA

22 avr. 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.

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1776 - 1800 sur 1,937 Avis pour Databases and SQL for Data Science with Python

par andrew

13 févr. 2020

Not as strong as the other offering in the specialization. Slide need a bit of work.

par YIFAN H

2 oct. 2019

I have many problems when I do my assignment, I think the class don't teach very well

par Michael B

17 août 2021

Good Course, but I missed slides for reading and some exercises are a bit ambiguous.

par Mauricio P

7 avr. 2020

In this particular course, I was having a lot of issues with the IBM technologies.

par Jeffrey L

18 juin 2020

I wish there could have been easier ways to learn this course outline. Very hard!

par Christopher B

11 févr. 2019

This is a logical extension of the certification, but the interfaces are clunky

par Elena E

13 oct. 2021

Multiple issues with labs, ambiguous quiz questions. Overall material is ok.

par Robert L

11 juin 2020

Good content, but issues with the IBM databases/servers slowed things down.

par Andrew C

7 avr. 2019

Overall the course is satisfactory although some areas still need work.

par Mason C

21 déc. 2019

Need more real-world data on hand practices. Practises makes perfect.

par Anup U

30 juil. 2020

this course is good for learning mysql with python and ibm cloud

par parikshit k

1 sept. 2020

Interesting & Challenging. Gr8 course but not for every soul.

par Sanja M

1 sept. 2019

There are not enough exercises and videos are almost usefull

par Emily

9 oct. 2018

Easy to follow. But not explained why should it be in detail.

par Varun B

22 mars 2020

It is a good course to learn SQL and Python interfaced DBMS.

par Niklas M

6 juin 2019

Good course, however, it uses a lot of IBM specific tools.

par Deleted A

16 juin 2020

Videos in each week can be repetitive and/or overlapping

par Xin Y L

1 déc. 2021

Skill Lab always down. The questions are ambigious.

par Жигмытов Ц

20 sept. 2020

Need more practice and less IBM advertisement =)

par AntoStain

10 sept. 2020

The exercises should be more challenging.

par Rohit G

11 mai 2019

Awesome course. Please also provide job.

par Abdullah A S S

3 août 2019

dude make the course a bit more human

par Malini B

31 mars 2021

Shows a lot of IBM cloud error

par Nitin C

28 mai 2020

found it a tad bit challenging

par Albert A

15 avr. 2022

the lab is hard to access