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

4.6
stars
19,476 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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2526 - 2550 of 2,669 Reviews for Databases and SQL for Data Science with Python

By Adam J L J H

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May 24, 2020

There were a lot of troubleshooting errors that I realise, were not only unique to me. These errors were not addressed properly and I ended googling some of these Issues

By Luca L

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Jun 23, 2020

The course has big technical issues that slow down the completion. I am quite disappointed by the application utilized in the course. The course lessons are good.

By Jay L

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Dec 29, 2021

The course overall is good with the content. However, there are some technical difficulties to run the final project and have very little support.

By Anandhu H

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Jul 16, 2021

Course content is great but working on IBM DB2 is very confusing. Faced a lot of technical issues where it took a lot of time to deal with.

By Nahuel F

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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

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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

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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

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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

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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

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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

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Jun 15, 2023

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

By Christophe D

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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

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Feb 15, 2020

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

By Magdalena R

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Dec 30, 2018

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

By jmaritz328

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Oct 26, 2021

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

By Ibrahim A

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Apr 6, 2020

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

By Alexander W C

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Jan 15, 2020

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

By Omolewa O

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Oct 18, 2022

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

By Xinxin Z

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Aug 27, 2019

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

By Moon Y

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Jul 24, 2022

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

By Mate S

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Oct 16, 2023

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

By Shuang.W

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May 2, 2020

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

By Raeesah

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May 16, 2022

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

By Tanner L C

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Nov 15, 2018

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

By Aaron

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May 21, 2023

Many more problem sets needed for both Jupyter Notebooks and Db2