This course was ranked in the Top 100 Best Courses on Coursera, based on its high ratings and large number of ratings.
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language used to communicate with and extract 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 fundamental knowledge of the SQL language. It is also intended to help you get started making SQL access a data science in
Much of the world's data resides in databases.
SQL (or Structured Query Language) is a powerful language used to communicate with and extract 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 fundamental knowledge of the SQL language.
It is also intended to help you get started with performing SQL access in a data science environment.
The emphasis in this course is on hands-on, hands-on learning.
As such, you'll work with real databases, real data science tools, and real-world data sets.
You will create a database instance in the cloud.
Through a series of labs, you will practice creating and executing 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 free of 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 just $39 USD per month for access to qualifying materials and a certificate.
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In this module, you will learn some basic SQL statements and practice them on a live database.
In this module, you will explore the fundamental concepts behind databases, tables, and the relationships between them. Next, you'll create an instance of a database, discover SQL statements that allow you to create and manipulate tables, and then practice using them on your own live database.
In this module, you will learn how to use string and range patterns to search for data and how to sort and group data into result sets. You will also practice writing nested queries and execute select statements to access data from multiple tables.
In this module you will learn the basics of using Python to connect to databases. In a Jupyter Notebook, you'll create tables, load data, query data with SQL, and analyze data with Python.
In this task, you will work with multiple real-world data sets for the city of Chicago. You will be asked questions that will help you understand the data just as you would in the real world. You will be evaluated on the accuracy of your SQL queries and results.
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