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

4.7
stars
20,672 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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2701 - 2725 of 2,846 Reviews for Databases and SQL for Data Science with Python

By Nahuel F

Jan 10, 2023

El contenido es bueno, pero no funcionan todas las practicas y en IBM cloud no me acepto el código para la práctica gratuita en DB2.

By Robert H

Sep 17, 2021

The quality of the course material, workshops, and support for this class was abysmal compared to the other classes in this series

By Elizaveta N

Apr 14, 2022

IBM Cloud is unavailable very often. I had a lot of problems starting the labs just because the tools were not available.

By Nurgul A

Aug 9, 2021

It has many technical issues with IBM Cloud. I couldn't focus on SQL skills from solving IBM connection problems.

By Mahmoud H A

Aug 4, 2022

the laps not easy to deal with i hope they change it , and also they donot explain everything that exist on laps

By Gopendra M

Nov 15, 2019

DB2 is out of the marketing not many people want to learn it, maybe it's time to upgrade it to something latest

By Darshan K

Jun 15, 2023

Lab is not accessible, In every video feel like machin volume, video should be look like someone teaching

By Christophe D

Jun 13, 2020

The use of IBM cloud was really frustrating as it was very slow and didn't work most of the time.

By WenQiang H

Feb 15, 2020

As a serial course in the "specialization", it's too simple, just made the learning path longer.

By Magdalena R

Dec 30, 2018

The content is adequate but I found it a bit boring. The classes did not keep my interest.

By jmaritz328

Oct 26, 2021

Needs to have a lot of work done on the Peer graded assignment department of the course

By Ibrahim A

Apr 6, 2020

Please review this course assets! especially IBM DB2 cloud service's availability !!!

By Alexander W C

Jan 15, 2020

The IBM service tutorial was hard to follow. Layout of the application has changed.

By Omolewa O

Oct 18, 2022

I'm just glad i did Google data analytics program before this if not i'd be lost

By Xinxin Z

Aug 27, 2019

The cloud system has so many problems which will prevent us to submit our works.

By Alexis G

Sep 12, 2024

Not clear enough. Could be more intuitive with more guidance in the exercises

By Moon Y

Jul 24, 2022

Some content are very confusing. Bad experience. Lab is not so good organized

By Mate S

Oct 16, 2023

the add-ins for practical exercises are a little weird and hard to navigate

By Shuang.W

May 2, 2020

so many stuff are out of dates and some instructions were very unclear.

By Norberto R R

Nov 19, 2024

No funcionan los labs con MySQL, por lo cual es muy difícil seguirlo.

By Raeesah

May 16, 2022

alot of the instruction were not clear especially on week 4 and 5

By Tanner L C

Nov 15, 2018

Very poorly done. Not enough information on working in the cloud.

By Aaron

May 21, 2023

Many more problem sets needed for both Jupyter Notebooks and Db2

By Ria “ T

Jun 2, 2021

The assisgnment is poorly worded and working in DB2 is a pain

By Oleg S

Sep 29, 2020

every material in course not match interface of the programs