Agile Data Science 2.0
Start Date: 2021-04-19
End Date: 2021-04-23
Time: 2:00 pm to 5:30 pm
Agile Data Science 2.0 covers the theory and practice of an Agile development methodology created to enable analytics application development.
Students will learn the theory and application of Agile Data Science, a development methodology in which a Data Scientist uses Agile methods and a lightweight stack to perform full-stack analytics application development.
Students will learn how to define, implement and use a Big Data full stack, and how to roll their own Big Data applications from the ground up.
This will enable them to effectively present their findings as applications, helping them make change within technological organizations.
Students will emerge from this course with skills and a technological template from which to derive their own applications using their own datasets.
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Organized by : Technology Transfer