Nowadays, software development projects are well understood and the frameworks for those projects are well standardised. But as more organisations are seeking success with data science, these project frameworks don’t always fit. The unique challenges of data science mean that a fresh approach to project management is needed. Matt How, Principle Consultant for Adatis, talks us through a range of project management techniques including agile and waterfall and touches on key topics such as autoML, model monitoring, data drift and probability, which are beneficial to have a good understanding of when setting up and planning data projects.
This session was part of the Data Science Festival Summer School in 2022. Find out more at https://datasciencefestival.com/event/summer-school/
The Data Science Festival is the place for data driven people to come together, share cutting edge ideas and solve real-world problems. We run monthly events, meetups and the biggest free to attend data festivals in the UK. Join the community at https://datasciencefestival.com/
#datascience
#agile
#datasciencefestival
#DIsummerschool
This session was part of the Data Science Festival Summer School in 2022. Find out more at https://datasciencefestival.com/event/summer-school/
The Data Science Festival is the place for data driven people to come together, share cutting edge ideas and solve real-world problems. We run monthly events, meetups and the biggest free to attend data festivals in the UK. Join the community at https://datasciencefestival.com/
#datascience
#agile
#datasciencefestival
#DIsummerschool
- Category
- Management
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