Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field. Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases.
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A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. 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, 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.
This course is part of the following programs:
- Data Science Foundations Professional Certificate
- IBM Data Science Professional Certificate
- Data Engineering Fundamentals Professional Certificate
- Data Analyst Professional Certificate
- Data Engineering Professional Certificate
What you'll learn
- Learn and apply foundational knowledge of the SQL language
- How to create a database in the cloud
- How to use string patterns and ranges to query data
- How to sort and group data in result sets and by data type
- How to analyze data using Python
