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Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM

4.7
stars
13,226 ratings
1,555 reviews

About the Course

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....

Top reviews

BS
May 20, 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!

PK
Aug 19, 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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1251 - 1275 of 1,535 Reviews for Databases and SQL for Data Science with Python

By AKANKSHA S

Aug 12, 2019

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

By 徐沛羽

Jan 27, 2019

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

By Pipes M

May 13, 2019

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

By Dalil A

Dec 10, 2020

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

By Akshay K S

Nov 18, 2018

good to learn about new function of phythone and data analysis

By tyler m

Jan 9, 2020

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

By Anshul K

May 30, 2020

Very basic. Good introduction to SQL with Jupyter Notebooks.

By abrar

Nov 28, 2019

its interesting course but need to add more practical lesson

By RAVI K M

Dec 8, 2018

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

By Gergana T

Jun 13, 2020

I little more exercises my be useful for beginners like me

By Larbi G

Oct 1, 2019

a good intoduction to RDBMS and data manipulation with SQL

By Шушков И В

Nov 23, 2019

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

By Neil D

Oct 8, 2019

Good course. Tutorials for IBM Developer could be better.

By SACHIN V N U

Mar 29, 2019

Good course for beginners and very good practice content.

By TATENDA Y G

Apr 11, 2019

Um, equips students with the top range basic knowledge

By martin d

Jun 10, 2020

faltarían algunos ejemplos de Oracle y otras databases

By Abhishek M

Aug 5, 2019

excellent course with real practical implementations.

By Nachiket R U

Oct 20, 2020

Also add a section of how to resolve simple queries.

By Mustafa A

Aug 1, 2020

This course is the best one on this specialization.

By Matheus L T A

Mar 7, 2019

Great course!, just a bit fast paced for beginners.

By Max W

Nov 13, 2018

quite nice intro into databases and sql for newbies

By Ravindra D

Nov 18, 2019

Covered all basic concepts about Databases and SQL

By Susan T

May 25, 2020

Good basic course,even to brush up on main topics

By Shanrong Z

Sep 7, 2019

There are not enough assignments for us to learn.

By Guy T

Nov 12, 2018

Good for the basics - will help getting into SQL.