Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

Apache Spark is a core technology for large-scale data analytics. Learn how to use Spark in Azure Synapse Analytics to analyze and visualize data in a data lake.

Learn how to build spreadsheets and analyze and visualize data with Microsoft Excel.

Learn to analyze and visualize data using Python and statistics.

Use R to process, analyze, and visualize data.

The endpoint remains one of the primary targets for cyber threat actors. Endpoint monitoring and analysis is ever more critical to an organization, to protect its data and intellectual property. This course will teach you how to monitor and analyze endpoint data using Elasticsearch.

Use NFL team statistics to model game winners and discover the most important team-level stats

Use sentiment analysis and natural language processing to analyze Taylor Swift's lyrics.

Create data visualizations of traffic data from the last two decades and model the relationship between smartphones and collision rates.

This course will teach you all the skills required for the analyze and visualize data section of the PL100 Microsoft Power Platform App Maker course and exam.

This course takes you through the complete lifecycle of a data science project from proposal right through to the approval stage. It provides you with some invaluable insights on stakeholder management during this journey.

Studying for the Amazon Certified Data Analytics - Specialty exam, or need to do Big Data Analytics on AWS? In this course, you’ll learn four Amazon Analytics services—specifically Redshift, Elasticsearch, Kinesis Data Analytics, and Athena.