Data Analytics with Amazon Redshift

Description

1. Introduction to Amazon Redshift: This section will provide an overview of Amazon Redshift, a cloud-based data warehousing service, and its benefits for storing and analyzing large amounts of data. You'll learn about the different types of nodes available on Redshift and the process for creating a Redshift cluster.
2. Data Loading and Querying: In this section, you'll learn how to load data into Redshift from different sources such as S3 and how to use SQL to query the data in Redshift. You'll also learn about Redshift's performance optimization features such as distribution styles and sort keys.
3. Redshift Spectrum and Advanced Querying: This section will cover Redshift Spectrum, a feature that allows you to query data stored in S3 directly from Redshift. You'll also learn about more advanced querying techniques such as window functions and subqueries.
4. Managing and Monitoring Redshift: In this section, you'll learn about Redshift's management features such as automated backups and scaling, and how to monitor cluster performance and usage.
5. Visualizing Data with QuickSight: Finally, you'll learn how to use Amazon QuickSight to create interactive visualizations of your data. You'll learn about different chart types and how to create dashboards and reports.

By the end of the course, you'll have a comprehensive understanding of how to use Amazon Redshift for data warehousing and analysis, as well as how to create interactive visualizations of your data using Amazon QuickSight. You'll be equipped with the skills needed to work with large datasets in the cloud efficiently and effectively.

Of course, depending on your interests and career goals, you may want to focus on different areas of Amazon's business. But this five-course plan should give you a solid foundation in e-commerce, selling on Amazon, advertising on Amazon, cloud computing, and data analytics.