❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge to write foundational SQL statements, filter result sets, create and alter tables, and access databases as a data scientist. Learners will also gain experience building SQL queries, working with real databases on the Cloud, and using real data science tools. Additionally, learners may gain knowledge of other database technologies such as MongoDB or PostgreSQL.

How does this course contribute to professional growth?
This course provides a comprehensive introduction to SQL and its use in data science, allowing learners to develop foundational SQL statements, filter result sets, create and alter tables, and access databases as a data scientist. Through hands-on labs and projects, learners will gain practical experience in building SQL queries, working with real databases on the Cloud, and using real data science tools. This course can contribute to professional growth by providing learners with the skills necessary to pursue a career in data science, data engineering, or data analysis. Additionally, learners can use the skills they learn to develop their own applications or websites.

Is this course suitable for preparing further education?
This course provides a comprehensive introduction to SQL and its use in data science, making it suitable for preparing further education. Learners will gain foundational knowledge of SQL statements, filtering result sets, creating and altering tables, and accessing databases. Through hands-on labs and projects, learners will practice building SQL queries, work with real databases on the Cloud, and use real data science tools. Possible development paths include data science, data engineering, or data analysis, as well as developing their own applications or websites. To supplement this course, learners may want to explore additional courses in Python, data science, or database management, as well as other database technologies such as MongoDB or PostgreSQL. Additionally, learners may want to practice their skills by working on projects or participating in hackathons.