Women in Data Podcast
A podcast by womenindata - Wednesdays
Categories:
111 Episodes
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Ep.50 The Women in Data community in 2022 - pushing forward for change
Published: 1/5/2022 -
Ep.49 - Jennifer Agnes - Leveraging strategy to thrive with data
Published: 12/15/2021 -
Ep.48 Jennifer Agnes - How to build a strong and sustainable network
Published: 12/8/2021 -
Ep.47 Gemma Turner and Michelle Williams – The power of introversion in data professionals
Published: 11/24/2021 -
Ep.46 Harietta Eleftherochorinou - Innovation in action: Driving impact in healthcare
Published: 11/10/2021 -
Ep.45 - Sheila Byfield – Combining data with common sense for better decisions
Published: 10/27/2021 -
Ep.44 Annalisa Occhipinti – Data Science and Cancer Research
Published: 10/13/2021 -
WiD Podcast Trailer
Published: 10/6/2021 -
Ep.43 Alison Williams - The value in thinking differently
Published: 9/29/2021 -
Ep.42 Sue Parker – Career crafting
Published: 9/15/2021 -
Ep41. Alina Timofeeva - Achieving your ambitions
Published: 9/1/2021 -
Ep.40 Holly Smith - Back to the office
Published: 7/21/2021 -
Ep.39 Susanna Moan – The Chief Data Officer explained
Published: 7/7/2021 -
Ep.38 Gráinne Gilmore – Telling stories with data
Published: 6/23/2021 -
Ep 37 Emma Kisby - Open banking and using Data for Good
Published: 6/9/2021 -
Ep.36 Elisa Morariu - Understanding customers behaviour
Published: 5/26/2021 -
Ep.35 Swathi Sudhaakar - Starting a career in Data Science or Data Analytics
Published: 5/12/2021 -
Ep.34 Bianca Partington - Managing data teams
Published: 4/28/2021 -
Ep.33 Wies Bratby - Negotiate your worth
Published: 4/21/2021 -
Ep.32 Kavya Gupta - Deep dive into the role of a product analytics team
Published: 4/14/2021
Welcome to the Women in Data Podcast, where every other week your host, Karen Jean-Francois interviews some of the most inspiring women working in data. Through each episode, they share their invaluable experience and knowledge. Leaving no stone unturned, the WiD Podcast series will provide you with information on the use of data in various industries, plus helpful tips for career development. More importantly, it will enable you to become the data professional you want to be.