Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
About this Course
Skills you will gain
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars74.71%
- 4 stars18.74%
- 3 stars4.03%
- 2 stars1.11%
- 1 star1.39%
TOP REVIEWS FROM DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.
Overall is a nice course. It was a bit confused because Handson Lab related to each other. It would be nicer to have a short remind from previous labs or better to keep labs independently.
I found this course really exiting as I learned how one can manipulate large data from within sql API. I also appreciate platform that provides means to practice python as well as sql code.
Most of it really good. I think joins should be covered in the base material and there should be less of an emphasis on sub-queries. The Peer Reviewed final was a little confusing in its questioning.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Certificate?
More questions? Visit the Learner Help Center.