Synthetic Data for Software Testers
Released: 5/10/2024
Duration: 1h 17m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 250 MB
Genre: eLearning | Language: English [/center]
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.
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.
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