This course introduces you to the basics of SQL, Django and Bootstrap. You will gain hands-on practical experience developing and deploying a full-stack Django web application on the cloud.

Quickly gain job-ready skills creating, populating, querying, and managing a cloud-based database using trusted IBM Cloudant.

Develop fundamental database skills, including table creation, loading data, and writing queries using IBM Db2 on Cloud. Explore Db2 on Cloud scalability, availability, and ease-of-use and gain job-ready skills with this hour-long, hands-on guided project.

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 about the world of data science first-hand from real data scientists.

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 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 about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.