Workshop: Data Science, Soup to Nuts

We are starting off 2021 with something different: I am going to do a series of workshops on the process of working on a data project, specifically a dataset related to retail transactions. Over a series of workshops we will complete a data science project from start to finish, focusing on data exploration, modelling and communication.

All code for my workshops and talks can be found in this GitHub repo:

https://github.com/kaybenleroll/data_workshops

This workshop is contained in the ws_soupnuts_202101/ folder

This series of workshops is done live, with code being commited and pushed to dedicated GitHub repository that can be found here:

https://github.com/kaybenleroll/dds-soup2nuts

Previous workshops are available on the Dublin Data Science YouTube page at:

https://www.youtube.com/playlist?list=PLBNUi5C90QfZ5t1JrgAtz_LXvCB7Eh5iu

In the sixth workshop, we return our focus to what model outputs to present to the end-client. We discuss how to combine the outputs of our graph modelling, association rules and basic RFM modelling to segment our customer base and discuss the different groups of products bought by our segments.

We will discuss how to take a high level view of the work we have done, think about additional work that we have not undertaken and why, as well as starting to think about ways of presenting the outputs of this work to the client.

As before, this workshop will be recorded and made available online afterwards, and I will use Zoom as our platform of choice.