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

4.6
stars
19,220 ratings

About the Course

Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will: -write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions -build sub-queries and query data from multiple tables -access databases as a data scientist using Jupyter notebooks with SQL and Python -work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects You will practice building SQL queries, work with real databases on the Cloud, and use real data science tools. In the final project you’ll analyze multiple real-world datasets to demonstrate your skills....

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!

SR

Aug 25, 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.

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2076 - 2100 of 2,627 Reviews for Databases and SQL for Data Science with Python

By Vonda B V A

Feb 25, 2020

Really help me to re-understand basic SQL. It's suitable for a beginner.

By Barbora T

Sep 11, 2019

Well explained, but both the quizes and the final project were too easy.

By Christina G

Jul 17, 2023

Wish I could get a little more help when I got stuck on a coding issue.

By Ivan L

Aug 12, 2021

Good basics, however it is far from using it for the real data analysis

By Rahul C

Aug 19, 2020

Great Course, the addition of some more practicals will be appreciable.

By Karan S

Jul 13, 2020

Course content is very good but faced problems while running IBM's DB2.

By Vasilis N

Oct 28, 2022

labs dont work proberly a or they need update but lessons are perfect

By Pascal B

Sep 12, 2021

Better structured than the previous one, but still all over the place.

By Wen J

Jan 12, 2020

some repetition and some instruction for log in and setup is outdated.

By Sharvari U

Oct 16, 2019

Datasets could have been proper. column names are too much mismatched.

By E. R " A

Sep 29, 2019

i have not done any SQL for years! The course help bring it all back!

By Du Q T

Jan 4, 2019

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

By Abdur R M

Oct 12, 2018

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

By Swati M

Mar 22, 2022

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

By Salil R

May 15, 2020

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

Thanks

By Gerardo C O

Jul 23, 2023

Solo falta que el audio esté en español para tener las 5 estrellas

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 Özgün K

Nov 11, 2023

Instructions for connection to DB2 IBM Cloud is not clear enough.

By Ali

Apr 21, 2023

This course is awesome, except one thing that they are using DB2,

By Jan C M

Oct 25, 2022

Table setup instructions hard to follow in the week 5 assignment

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 Steve H

Jan 20, 2023

IBM platform overcomplicates the lessons. The content is good