Synthetic Data for Software Testers / with Michael Smith.

Format:

Video

Author/Creator:

Smith, Michael, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Learn how to create synthetic data, artificially generated datasets that mimic real-world data, so you can have sufficient data for testing while protecting sensitive information.

When real data is scarce or when privacy is paramount, using synthetic data for testing can be the solution. By artificially generating data that mimics the statistical properties of real-world data, quality assurance steps can be performed successfully and with less risk. In this course, learn how to create such datasets and how to leverage the data during practical testing scenarios. Get introduced to algorithms and tools that can be used to create synthetic data. Receive insights regarding how to work with time-series and unstructured data, improving your confidence with handling complex data formats. A challenge in the course facilitates hands-on practice so you can start getting comfortable with the steps involved. Instructor Mike Smith also discusses the limitations associated with synthetic data, preparing you to be able navigate constraints if they arise.

Participant:

Presenter: Michael Smith

Notes:

5/10/202412:00:00AM

Access Restriction:

Restricted for use by site license.