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AI3SD Video: Data Analysis Case Study

AI3SD Video: Data Analysis Case Study
AI3SD Video: Data Analysis Case Study
This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video was the third talk in the Skills4Scientists #4 - Intro to Python 2 Session, which was a follow on from our Intro to Python 1 course, with a focus on working further with the core elements of Python and performing data analysis, using Jupyter notebooks and Anaconda. This course is designed to allow you to follow along with the content and examples as the course goes, but you will also be provided with course material to allow you to cover it again after the live event.
AI3SD Event, Data Science, Python, Useful Code, Training, Good Practice, Data, Case Study
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84

Munday, Samuel (2021) AI3SD Video: Data Analysis Case Study. Kanza, Samantha, Knight, Nicola, Frey, Jeremy G. and Hooper, Victoria (eds.) Skills4Scientists Seminar Series 2021. 07 Jul - 02 Sep 2021. (doi:10.5258/SOTON/P0126).

Record type: Conference or Workshop Item (Other)

Abstract

This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video was the third talk in the Skills4Scientists #4 - Intro to Python 2 Session, which was a follow on from our Intro to Python 1 course, with a focus on working further with the core elements of Python and performing data analysis, using Jupyter notebooks and Anaconda. This course is designed to allow you to follow along with the content and examples as the course goes, but you will also be provided with course material to allow you to cover it again after the live event.

Video
Pure-Skills4Scientists - Python 2 - Data Analysis Case Study - Mr Samuel Munday - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 22 July 2021
Additional Information: Samuel Munday is a Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain.
Venue - Dates: Skills4Scientists Seminar Series 2021, 2021-07-07 - 2021-09-02
Related URLs:
Keywords: AI3SD Event, Data Science, Python, Useful Code, Training, Good Practice, Data, Case Study
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Identifiers

Local EPrints ID: 450568
URI: http://eprints.soton.ac.uk/id/eprint/450568
DOI: doi:10.5258/SOTON/P0126
PURE UUID: 28fc24b8-8d7e-48d6-a4b3-2e20bc525a5c
ORCID for Samuel Munday: ORCID iD orcid.org/0000-0001-5404-6934
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 04 Aug 2021 16:32
Last modified: 17 Mar 2024 03:57

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Contributors

Author: Samuel Munday ORCID iD
Editor: Samantha Kanza ORCID iD
Editor: Nicola Knight ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper

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