Databases and SQL for Data Science

( 487 Reviews )

Created by: Rav Ahuja

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Overall Score : 94 / 100

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Course Description

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 language. 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. You will create a database instance in the cloud. 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 Python.No prior knowledge of databases, SQL, Python, 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.LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Time: 12h

Instructor Details

Rav Ahuja

4.7 Rating
487 Reviews

Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data Science, Cloud and Blockchain. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.