Chevron Left
Back to Databases and SQL for Data Science with Python

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

4.7
stars
20,792 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.

Filter by:

401 - 425 of 2,868 Reviews for Databases and SQL for Data Science with Python

By Richard K

Mar 22, 2019

Great course interesting for beginners - allows you to slowly be introduced to Data science concepts will tying it to current tools like IBM DB2

By Suyash D

Jul 19, 2018

This is an excellent course for beginners with little or no knowledge of SQL. Besides learning SQL, you will learn how to access it from Python.

By Sascha T

Aug 10, 2022

Gave a sound overview of how to use SQL / python and the practices were challenging. Felt accomplished when I wrote code that finally worked.

By Ágnes T

Jan 3, 2022

I found this course very well built up, covering all the basics of SQL. I would highly recommend the honors module too for advanced techniques.

By Ramon M

May 18, 2020

Great course for learning how to use SQL via Python. The material was a bit dry for my taste but this is epxected for an entry-level SQL course

By Dayli S

Feb 20, 2020

It was a very good introduction to databases and the examples and hand-on exercises were very helpful. It would be great to add more exercises.

By HIDESHI Y

Mar 21, 2019

Combination of video and hands-on training are very well mixed. All the hands-on trainings are very helpful to understand SQL and data science.

By ismail k

Oct 15, 2022

very nice course is designed and very attrative

i am begineer is very easy to understand but ibm clooud db2 keeps logout unable to paratice

By QZ Y

Mar 19, 2020

I really enjoy typing and debugging the sql and python code that the course provides us with useful real-world datasets for hands-on practice.

By Mahmoud A

Mar 5, 2023

very good course content , but the i have hint, this course doesn't contain normalization of tables.

finally, thank you so much for support .

By santosh k

Apr 29, 2020

The courses I took on Coursera are directly applicable to my job. They enable me to learn things I can use at work immediately.

Santosh Kumar

By Harsh R

Jun 26, 2019

It was Interesting as well as informative in much more efficient way. The way of explanation of the topics was on-point. Enjoyed the course.

By Hùng B

Jun 30, 2024

provide great knowledge about basics, intermediate, and advanced SQL. guided me to use the Jupyter notebooks and how to use SQL with Python

By Emmanuel O

Jan 28, 2023

This course is very rich and the delivery is top notch. I strongly recommend this course to anyone interesting in data science with python.

By Griselda B M

Jan 29, 2021

This course is excellent, I learned a lot about dabases and SQL, the practices seemed very good to reinforce what is learned in the videos.

By Sreekar T

Dec 8, 2019

A good course for beginners who want to learn about databases and SQL. The theory classes and the hands-on sessions were really very good.

By Rahul R

Dec 6, 2019

The assignment given in this course and designed by the instructor hepled me in gaining command over pandas, mysql, and database management

By Pranav B

Sep 22, 2019

Very concise and to the point coursework. Amazing Course Instructors and pretty challenging assignments. Definitely worth all the hard-work

By Leke O

Sep 19, 2018

Great Hand on experience especially with IBM Db2 cloud, Jupyter Notebook connection to sql and Querying the database. Overall, I loved it.

By J C V

Sep 17, 2019

Gives good understanding of how to use SQL statements in Python environment. Very useful for the beginners who wish to learn Data Science.

By Mark H

Feb 10, 2019

I liked this course. I knew SQL already so it was pretty easy. But the tools and how to use them was new and well presented and organized.

By Ewerton M

May 29, 2024

This course explore most of SQL commands and bring a excellent view about relational databases and connections to Python. Thanks at all!

By Rahul W

Sep 8, 2023

Fantastic course with basics to advanced concepts in SQL with integration of Python language and hands-on experience with labs practice.

By SANI A S

Apr 21, 2022

Until this Course, i always thought SQL as a difficult part of data science, but then this course help me to have the overall overview.

By Vineet M

Jan 2, 2021

Great course with very well oriented material and content. A great option to provide in-hand experience to worked with the applications.