In this talk, Data Science practitioners Alice and Chiin will present experience-based insights that enable clarity about this undoubtedly red hot but nebulous trend, by sharing coherent definitions, frameworks, and facts that help clear up some of the key areas of confusion. They will outline their view of Data Science best-practices, common misconceptions, pitfalls, and practical tips for those looking to make a career transition. This talk will ultimately deliver awareness about the reality of the Data Science profession, and help demystify the hype.
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.
Chiin is the Head of Data Science at the Foreign & Commonwealth Office, leading the establishment of a new data science capability. She has an Economics degree from the University of Cambridge, and interest in applied microeconomics topics. Founder & Co-Founder of R-Ladies London & Global, Chiin is a keen R evangelist and active promoter of computing to underrepresented minorities. Professional specialisms include data-centric leadership, econometrics, digital analytics, visualisation, data democratisation, and strategic insight.