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

4.7
stars
20,686 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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2551 - 2575 of 2,852 Reviews for Databases and SQL for Data Science with Python

By Daniel F

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Oct 4, 2021

The content of the course was good but it should be updated and coorcted. Especially in week 4 I spent more time working on Labs to work than actually working in the Labs.

By Evan K

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Oct 18, 2022

Overall, the course provided the basic necessities in learning SQL, though I think that the depth of instruction was lacking in topics surrounding the built-in functions.

By Sisir K

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Feb 7, 2019

The speaker in the videos goes too fast. The hands-on labs are very useful and were my primary sources of learning. The videos didn’t help much with the learning process.

By Vincent E

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Nov 27, 2021

The Jupyter Notebook portion was difficult to setup. The instructions for the Jupyter Notebook were incorrect. I had to rely on forum comments to fix the problem.

By Mark A H

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Jul 8, 2023

Far fewer review questions throughout the videos in comparison to previous courses on top of quite a few of the labs not working or lacking in some instructions.

By Oxana

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Oct 31, 2022

The course is useful in general but the final assignment was rather complicated. These kinds of sub-queries should be included in labs during the course as well.

By Dale W

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May 6, 2022

The python portion of the course is not very involved and poor usage of style (lack of upper case SQL keywords) makes learning more difficult than necessary.

By Le M

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Aug 2, 2024

Code presented in the quizzes is really hard to parse, as it is presented in plain text without any highlighting. Slides and texts contain various typos.

By Aniruddh G

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Apr 11, 2019

The environment is difficult to set up. For someone who knows SQL and has worked on other platforms the IBM Cloud and workspace are difficult to set up.

By Mika K

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Nov 25, 2021

Content is very good. Problem is that there was many problems with apps/launchers. Many others have had similar problems based on the comment section.

By Manuel M B

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May 16, 2020

The course is good, but i think that you will provide a platform to practice while watching the videos. In some examples the data base is not upload.

By Slavik I

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Nov 25, 2019

A little to none explanations, very easy quizzes. Low quality slides. Good if you want to remember lines without understanding what they are doing.

By aakash a

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Feb 15, 2019

Learnt a lot about connecting database from python and how jupyter notebooks are useful.

Please mention IBM DB2 only, if it covers only IBM DB2.

Thanks

By Soh J

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Mar 10, 2020

The lesson and video itself is okay in general, but the bugs for the labs and assignment is what makes this course very annoying and time consuming.

By Mohammad R

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Jun 24, 2022

very short descriptive course, i had previous knowledge of sql so it was much easier for me but for a beginner it was not comprehensive i would say

By Abdul A

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Apr 26, 2022

multiple times facing issues with external tool, it won't open, the link to download data sets don't work. I couldn't complete the course on time.

By Sreeja G

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Nov 13, 2023

Everything else was fine BUT the instruction set for the final assignment was EXTREMELY CONFUSING... unlike any other Coursera course that I took.

By Deleted A

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Oct 22, 2021

the third party tool failed and it was incredibly frustrating to try and move everything to Watson Studio. Once I got that going tho it was fine.

By Roger S P M

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Dec 29, 2018

Getting the right syntax for Python and SQL together was really tricky/difficult. I wish there were a reference book/website for additional study.

By Kyle S

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May 16, 2020

The basics were easy. The hard part were the instructions in the course didn't tell you all the steps that you needed to do to launch the labs.

By Akash C

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Oct 26, 2019

Some of the documents which are referring to IBM cloud are outdated. Otherwise this course is really good some one like who is beginner in SQL.

By Julio C R

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Nov 17, 2021

The course was pretty dull in my opinion. My overall thought is that they are trying to impress the student rather than teaching the basics.

By Linh T

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Mar 5, 2023

I experience with technology issue that caused my time and delay my completion of the course. Hope it will be better in my future courses.

By Robert C

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Apr 25, 2020

Instruction is overall pretty good, but there are some gaps. Final assignment and tech issues can lead to a rather frustrating experience.

By Matthew A

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May 12, 2019

This course was OK, but I'd still like to see more hands-on exercises and a final assignment that's more aligned to the prior coursework