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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

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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2726 - 2750 of 2,852 Reviews for Databases and SQL for Data Science with Python

By Norberto R R

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Nov 19, 2024

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

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

By Ria “ T

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Jun 2, 2021

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

By Oleg S

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Sep 29, 2020

every material in course not match interface of the programs

By Gennaro R

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Jul 13, 2022

With respect to the other courses, this one is super boring

By BOGATHI H K R

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Dec 14, 2023

IT'S NOT PRACTICAL COURSE THAT'S WHY I AM NOT INTRESTED

By Thomas S

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Jun 13, 2022

Partly labs not working, tasks unclear, could be better

By 黃湙傑

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Jun 14, 2022

IBM DB2 database didn't give me good using experience.

By Nitika K

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Sep 20, 2020

Not suitable for non computers background students.

By Ray Y

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Jul 15, 2019

WHY FORCE ME USE THE IBM CLOUD? SO COMPLICATED

By abdelkarim b

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Mar 3, 2020

The IBM tools are so unfriendly to new users

By Abhilash L

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Jun 20, 2018

Last few lessons are not clearly explained.

By Lucreziamaria C

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Oct 18, 2021

There are so much errors in notebooks!

By Kamran H

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Mar 19, 2023

I had difficulties wih IBM platform.

By Roderick W

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Apr 4, 2020

The voice-over makes me wanna sleep.

By Meera N

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Dec 30, 2022

DB2 console is so difficult to use

By Long N K H

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Jun 11, 2020

The Lab env sometimes has trouble.

By Ashwin D

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Apr 29, 2020

Expected more from an IBM course.

By Bharat b b

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Jun 28, 2020

needed to update many topics

By Fay C

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Nov 1, 2018

hard to use sql server

By Usman R M

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Apr 27, 2019

not well designed

By mohammad s

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May 22, 2019

very simple

By Hakki K

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Jul 9, 2020

Hi,

I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.

(*): https://www.coursera.org/professional-certificates/ibm-data-science?utm_source=gg&utm_medium=sem&campaignid=1876641588&utm_content=10-IBM-Data-Science-US&adgroupid=70740725700&device=c&keyword=ibm%20data%20science%20professional%20certificate%20coursera&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=347453133242&hide_mobile_promo&gclid=Cj0KCQjw0Mb3BRCaARIsAPSNGpWPrZDik6-Ne30To7vg20jGReHOKi4AbvstRfSbFxqA-6ZMrPn1gDAaAiMGEALw_wcB