Get started with MongoDB, an essential NoSQL database program. In an hour, beginners and new data scientists can learn the fundamentals of MongoDB.

In this one-hour of hands-on guided project, you can easily learn how to analyze data using pandas, a popular Python library used for data analysis. This project will teach you how to analyze credit risk on a client dataset using the pandas library.

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 Data Engineering, Data Analytics or Data Science.

This course introduces you to the fundamentals of NoSQL, including the four key non-relational database categories. By the end of the course you will have hands-on skills for working with MongoDB, Cassandra and IBM Cloudant NoSQL databases.

This course helps you develop the foundational skills required to perform the role of a Database Administrator (DBA) including designing, implementing, securing, maintaining, troubleshooting and automating databases such as MySQL, PostgreSQL and Db2.

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.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

This course will teach you how to use functions and procedures apart and together to build robust data management systems.

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

Use SQL to create, access, and update tables of data in a relational database.