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

4.6
stars
19,323 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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2101 - 2125 of 2,641 Reviews for Databases and SQL for Data Science with Python

By Swati M

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Mar 22, 2022

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

By Salil R

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May 15, 2020

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

Thanks

By Gerardo C O

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Jul 23, 2023

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

By AKANKSHA S

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Aug 12, 2019

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

By 徐沛羽

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Jan 27, 2019

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

By Özgün K

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Nov 11, 2023

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

By Ali

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Apr 21, 2023

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

By Jan C M

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Oct 25, 2022

Table setup instructions hard to follow in the week 5 assignment

By Pipes M

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May 13, 2019

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

By Dalil A

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Dec 10, 2020

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

By Akshay K S

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Nov 18, 2018

good to learn about new function of phythone and data analysis

By Steve H

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Jan 20, 2023

IBM platform overcomplicates the lessons. The content is good

By anderson s

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Jun 30, 2022

Faltou ensinar sobre como criar colunas com chave estrangeira

By tyler m

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Jan 9, 2020

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

By Anshul K

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May 30, 2020

Very basic. Good introduction to SQL with Jupyter Notebooks.

By Abrar

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Nov 28, 2019

its interesting course but need to add more practical lesson

By Ravi K

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Dec 8, 2018

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

By Ashis K D

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Dec 29, 2023

Good course but the ibmdb2 configuration is a bit complex.

By Stefano P

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Dec 21, 2023

4 stars because sometimes hands-on lab ar not fully clear.

By JHOEL R M V

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May 9, 2022

Good course! Basic and intermediate SQL with basic Python.

By Choy H P

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Apr 24, 2022

Very compact, quick and clear explaination by instructor.

By Gergana T

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Jun 13, 2020

I little more exercises my be useful for beginners like me

By Larbi G

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Oct 1, 2019

a good intoduction to RDBMS and data manipulation with SQL

By Noerlina P

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Dec 16, 2021

The course is amazing, but some hands on lab had errors..

By Igor S

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Nov 23, 2019

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