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

4.7
stars
21,052 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 21, 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!

JT

Apr 26, 2023

Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.

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2676 - 2700 of 2,913 Reviews for Databases and SQL for Data Science with Python

By Jeffrey L

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Jun 18, 2020

I wish there could have been easier ways to learn this course outline. Very hard!

By Christopher B

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Feb 12, 2019

This is a logical extension of the certification, but the interfaces are clunky

By Elena E

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Oct 13, 2021

Multiple issues with labs, ambiguous quiz questions. Overall material is ok.

By Welamaza A M

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Jul 18, 2022

Had issues connecting to API that part needs to be reviewed and streamlined

By Robert L

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Jun 11, 2020

Good content, but issues with the IBM databases/servers slowed things down.

By ACTraveler

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Apr 8, 2019

Overall the course is satisfactory although some areas still need work.

By Mason C

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Dec 21, 2019

Need more real-world data on hand practices. Practises makes perfect.

By Llamaland

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Apr 5, 2024

my final exam displays all the same answer option for 10 questions

By Adolf M

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Dec 23, 2024

Sigo teniendo dudas con el aprendizaje adquirido y la metodologia

By Anup U

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Jul 30, 2020

this course is good for learning mysql with python and ibm cloud

By Nishant S

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Mar 17, 2023

Trial for ibm cloud expired not able to complete certain tasks

By Tadashi M

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Jul 19, 2022

Start way too slow and has almost no depth to what they teach.

By parikshit k

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Sep 1, 2020

Interesting & Challenging. Gr8 course but not for every soul.

By Sanja M

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Sep 1, 2019

There are not enough exercises and videos are almost usefull

By Emily

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Oct 9, 2018

Easy to follow. But not explained why should it be in detail.

By Varun B

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Mar 22, 2020

It is a good course to learn SQL and Python interfaced DBMS.

By Niklas M

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Jun 6, 2019

Good course, however, it uses a lot of IBM specific tools.

By Deleted A

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Jun 17, 2020

Videos in each week can be repetitive and/or overlapping

By Adrian A

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Sep 4, 2022

Assignment content should be updated more regularly

By Xin Y L

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Dec 1, 2021

Skill Lab always down. The questions are ambigious.

By Adnan A

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Jul 26, 2022

clickable assignments matrials is not available.

By Жигмытов Ц

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Sep 20, 2020

Need more practice and less IBM advertisement =)

By Nidhi M

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Jan 19, 2024

not updating, issues with the quiz and plug in

By Joel G

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Nov 2, 2022

make clear details about final peer assignment

By AntoStain

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Sep 10, 2020

The exercises should be more challenging.