All of us have that moment where it could be difficult to know what career path we would like to follow in Data. What is the difference between a data engineer, a data scientist, and a data analyst? What skills are needed? In this session, Marta will share with us her experience and learnings to find her professional career in Data. She will compare two different fields in Data Science and will overview techniques that she learnt: Intro to Bayesian reasoning for Media and what to look for during creation of first data pipeline using Splunk.
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Choosing my career in Data
Marta is a statistician working as Data Analyst at Brightblue Consulting. Over last year she explored different applications of Data Science where she could work half of the time in Data Engineering and half of the time in Data Analytics to explore difference between both extremely different roles in Data Science in both extremely different applications to data. She has BSc in Mathemtics and Statistics, studies MSc Mathematics part time at Queen Mary University of London and is a professional fellow of RSS - on track to get Chartered Statistician diploma.