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

4.7

stars

20,611 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

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!

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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851 - 875 of 2,839 Reviews for Databases and SQL for Data Science with Python

By sachin J

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Jan 6, 2020

Excellent course for anyone who wants to get the basics of SQL

By Ching J N

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Dec 7, 2019

Pretty in-depth tutorial on SQL and easy to comprehend as well

By Javier A B

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Sep 21, 2019

Excellent course. It provides all the basics to work with SQL

By Pawan

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Aug 17, 2019

exercise are good and really great for understanding concepts.

By Chris G

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Jan 15, 2019

Provided excellent real-world examples for SQL query practice.

By A. A

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Dec 27, 2018

Great course and amazing usage of visuels to convey knowledge.

By SERGIO D S

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Apr 17, 2024

Really helpful to start with SQL and combine it with Python!!

By Nagaraj V

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Feb 25, 2024

Very good coverage of subject. Videos are a bit short, but OK

By Ahmad H

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Aug 30, 2023

Excellent course, great learning journey with coursera & IBM

By Janja

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Feb 28, 2022

SQL very clearly explained, guided by well defined exercises.

By Ramazan T

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Apr 28, 2021

It was a truly comprehensive and beautiful course. Thank you.

By Bernardo A

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Mar 8, 2021

Excellent for beginners. Please Update the link to databases.

By Miguel U M

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Apr 3, 2020

Really easy to understand and really nice practical exercises

By Hemant K S

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Jul 21, 2019

Good learning. Focus on concepts and great hands on training.

By Rahul K

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Jun 16, 2019

The Explanation of the queries is the Best part of the Course

By Pablo V V

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Mar 2, 2019

I would like more exercises to practise my skills.

Thank you.

By Danko S

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May 3, 2022

Very good prepared an easy to understand knowledge for SQL.

By Weijia Y

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Aug 18, 2021

Engaging and informative for SQL/Python entry to mid levels.

By Richardson P T

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May 1, 2020

This is a powerful database course that everyone would take.

By Monica P L

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Feb 16, 2020

Very complete and well oriented course. Thank you very much!

By Toan L T

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Oct 19, 2018

Great on basic of SQL and using Python to work with Database

By Albarran S J A

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Nov 11, 2024

Muy bueno, está completo y sobre todo lleno de conocimiento

By Deep S

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Sep 26, 2024

Great introductory course with excellent hands-on exercises

By Darshan K

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Aug 9, 2022

This is the best course with a lot of practice assignments.

By R K P R

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Jan 18, 2021

This course is easily understandable and very useful for me