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

4.6
stars
19,229 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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1801 - 1825 of 2,627 Reviews for Databases and SQL for Data Science with Python

By Vishnupriya.R

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May 27, 2020

NICE

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May 3, 2020

good

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Apr 26, 2020

BEST

By Supparkom J

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Apr 25, 2020

nice

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Mar 22, 2020

Nice

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Mar 6, 2020

Good

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Feb 18, 2020

good

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Jan 10, 2020

good

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Oct 10, 2019

Good

By Prabhu M

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Sep 2, 2019

good

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Mar 15, 2019

Good

By Mahesh A

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Jan 5, 2019

Nice

By ASHISH K J

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Nov 11, 2018

good

By antho s

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Mar 8, 2024

GOD

By Dicko S P

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May 5, 2023

ke

By Federico O

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Dec 25, 2022

GOD

By Ahmad

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Mar 17, 2020

Thx

By Josh H

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Jan 9, 2020

aaa

By Harshita G

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Feb 4, 2024

gg

By Karan K

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Aug 25, 2022

,

By André J A

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Jul 22, 2021

ok

By Kiran K

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Jun 16, 2020

NA

By Talha A

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Sep 11, 2019

<3

By Luis T d N

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Mar 1, 2024

k

By Yohanes J

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Nov 5, 2023

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