PyDataMCR - Data FAQs with the UKDataService
Details
PyDataMCR is a strictly professional event, as such professional behaviour is expected. We welcome everyone with an interest in data.
PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html.
Data FAQs
Some questions come up again and again in relation to data industries. Questions like:
- Should I learn R or Python?
- How reproducible should my work be? What steps should I take to make it so?
- Does SQL have a place in Data Science?
- How much of your work involves "Big Data"?
As these questions come up so frequently, the UK Data Service is maintaining a Data FAQs resource (github.com/UKDataServiceOpen/Data-FAQs) where interested people can ask such questions or peruse previously asked questions to find carefully curated answers.
To kick-start this resource, PyDataMCR will collaborate with the UKDS to host a panel of experts. They will discuss these prompts, and others submitted prior to the panel event, in order to crowd-source some detailed answers.
Please feel free to open issues on our GitHub(github.com/UKDataServiceOpen/Data-FAQs/issues). If submitted in advance of the event, your question may be answered live by our expert panel!
This event supported by the UK Data Service, the UK's largest collection of social data. Check out what they do and their events at ukdataservice.ac.uk/news-and-events/events.aspx
Join us on Slack
https://tinyurl.com/pydatauk-slack
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The Panel
Eslene Bikoumou - https://www.linkedin.com/in/eslene-bikoumou/
I currently work as a data scientist at Phoenix medical Supplies. I joined the company in December last year. Prior to that I worked as a data engineer. I did a PhD in Applied Maths at the University of Portsmouth. The first time I was introduced to Python was in my second year as an undergrad. Since then I have been using python. My role consists of primarily providing analytical support. I often work independently develop the tools and answers that business colleagues at every level will use every day to get information and make decisions.
Tom Liptrot - https://www.linkedin.com/in/tomliptrot1/
Tom has been working in data science since the term was first coined around 2008. As a data scientist, machine learning engineer, business consultant and statistician, Tom has a deep understanding of complex statistical and machine learning techniques. Tom runs a data science consultancy, Ortom(https://ortom.co.uk/)
Rachael Ainsworth - https://www.linkedin.com/in/rachaelainsworth/
Rachael Ainsworth is the Research Software Community Manager for the Software Sustainability Institute and is based at the University of Manchester. She is passionate about openness, transparency, reproducibility, wellbeing and inclusion in research, and recently delivered a TEDx talk on how openness can help fix a broken research culture (https://youtu.be/c-bemNZ-IqA). She leads HER+Data MCR (https://www.meetup.com/HER-Data-MCR/), a meetup group to connect, inspire, support and empower the NW UK’s Women in Data.
Mark Elliot - https://www.linkedin.com/in/elliotmark/
Mark Elliot has worked at the University of Manchester since 1996, mainly in the field of confidentiality and privacy. He is one of the key international researchers in the field of Statistical Disclosure. Aside from Confidentiality, Privacy and Disclosure, his research interests include Data Science Methodology and its application to social science. He is the director of the University’s new interdisciplinary MSc in Data Science.
SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support.
Thank you to Cathcart Associates, If you are looking for a job in data get in touch at www.cathcartassociates.com
Thank you to Horsefly Analytics, Using accurate talent market data and knowledge to support informed decision-making and drive a big competitive advantage at www.horseflyanalytics.com
