Learner Reviews & Feedback for SQL for Data Science with R by IBM

4.4

stars

184 ratings

About the Course

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. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and R. No prior knowledge of databases, SQL, R, or programming is required. Anyone can audit this course at no charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course....

Top reviews

Feb 12, 2025

The content and pacing were excellent. I came into the course with plenty of PL/SQL experience, and left feeling like I had a strong foundation with how SQL works in R.

Mar 4, 2022

This skills in this course are easy to learn, the simplicity of the materials is what I like the most about IBM courses.

Filter by:

51 - 53 of 53 Reviews for SQL for Data Science with R

By Antonio Y G A

•

Nov 18, 2024

I have the same problem as with course 5, at the time of making the final project in jupiter I can not run the functions because it marks me error, I have realized that I am not the only one, since there are comments of this course about the same problem.