Teradata University for Academics
Our resources cover various topics and methodologies in the fields of analytics (BI), big data, data warehousing, data science, all at no cost to the university, faculty, or the students.
Introduce analytics projects to your students in a unique, fun way. Check out these great resources to get started.
The course is very broad in coverage, with a focus on business and organizational issues, the "full stack" of BI and analytics applications, development methodologies, creating the data and software infrastructure, getting projects approved, and more.
The use of personal data and algorithms for making recommendations and decisions is growing. In response, there are calls for greater algorithmic transparency; that is, for organizations to be more public and open about their use of personal data and algorithms.
Introduce young people to data science! These materials were developed for the summer program Innovate for Good at Appalachian State University in 2019 for girls in fifth to tenth grades (10-16 years old). Although the materials were originally created for a summer camp, they can be easily adapted for a class or workshop.
This SAS sponsored white paper provides various use cases of Location Analytics being used in businesses to gain spatial insights.
Complete data analytics cases and add “Data Detective” to your resume.