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

4.6
stars
14,143 ratings
1,733 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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1201 - 1225 of 1,739 Reviews for Databases and SQL for Data Science with Python

By Abhishek

Feb 10, 2020

lucid

By Diego B

Dec 17, 2019

great

By Marouane E O

Sep 5, 2019

great

By Jalolov J

May 30, 2019

great

By Shashank R

Mar 10, 2019

Great

By suraj g

Oct 1, 2021

Best

By Carlos L M C

Sep 4, 2021

nice

By ABDUL H

Aug 28, 2021

good

By Maulidya E

Jul 12, 2021

GOOD

By Diego F G R

Apr 12, 2021

good

By Shreya M

Oct 1, 2020

Good

By Jorge B

Sep 11, 2020

nice

By Nikhil S

Jul 18, 2020

Good

By Dalu V

Jul 14, 2020

good

By SREERAM K V S U

Jul 11, 2020

good

By Chathura S R

Jul 9, 2020

good

By Nazim S

Jul 8, 2020

best

By Jaladi N

Jun 27, 2020

good

By Golla M

Jun 1, 2020

good

By Vishnupriya.R

May 27, 2020

NICE

By Shahnaz P

May 3, 2020

good

By Naveen S P

Apr 26, 2020

BEST

By Supparkom J

Apr 25, 2020

nice

By Kindrat V R

Mar 22, 2020

Nice

By SAI P S T

Mar 6, 2020

Good