Alice Daish is a Data Scientist with experience in using data for decision making and organisational data transformation. Previously working at The British Museum focusing on making the museum data-driven. Co-Founder of R- Ladies Global and Leadership Team. Microsoft MVP. Registered Scientist previously trained in ecology and quantitative biology.
Interests include R and data science, datafication, data analysis, data visualisation, data management and gender diversity in STEM.
Talks I've Given
How Qual and Quant Can Work Together
Featuring Casey Scott-Songin and Alice Daish
Don't miss this month's London Business Analytics Group where we're joined by Alice Daish and Casey Scott-Songin. Check it out!functional business-analytics qualitative quantitative data-initiatives bigdata
Transforming a Museum to be data-driven using R
Featuring Alice Daish
How do you transform a traditionally un-data-orientated business into being data-driven armed with R, data science processes and plenty of enthusiasm? Alice Daish shares her experience of transforming the 250-year-old British Museum to be data-driven by 2018.data-visualization bigdata data-science data-driven data-analytics r big-data functional
Demystifying Data Science
Featuring Chiin-Rui Tan and Alice Daish
We all know the description of the Data Scientist being “The Sexiest Job of the 21st Century”, but do you have a clear understanding of what Data Science actually is? Chiin and Alice Daish are at this month's LBAG to help us find the answer!data-science bigdata data-analytics r big-data development-practices functional