Women in Data Podcast
Podcast autorstwa womenindata - Wtorki
140 Odcinki
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Ep.40 Holly Smith - Back to the office
Opublikowany: 21.07.2021 -
Ep.39 Susanna Moan – The Chief Data Officer explained
Opublikowany: 7.07.2021 -
Ep.38 Gráinne Gilmore – Telling stories with data
Opublikowany: 23.06.2021 -
Ep 37 Emma Kisby - Open banking and using Data for Good
Opublikowany: 9.06.2021 -
Ep.36 Elisa Morariu - Understanding customers behaviour
Opublikowany: 26.05.2021 -
Ep.35 Swathi Sudhaakar - Starting a career in Data Science or Data Analytics
Opublikowany: 12.05.2021 -
Ep.34 Bianca Partington - Managing data teams
Opublikowany: 28.04.2021 -
Ep.33 Wies Bratby - Negotiate your worth
Opublikowany: 21.04.2021 -
Ep.32 Kavya Gupta - Deep dive into the role of a product analytics team
Opublikowany: 14.04.2021 -
Ep.31 Ekaterina Atanasyan - Career fulfilment
Opublikowany: 7.04.2021 -
Ep.30 Sonal Goyal - Big Data small data and data mastering
Opublikowany: 31.03.2021 -
Ep.29 Sathya Bala - Breaking the mould
Opublikowany: 17.03.2021 -
Ep.28 Macarena Estévez - Choose to challenge!
Opublikowany: 3.03.2021 -
Ep27. Elisabeth Yaneske - Using data science to understand human cells mechanisms
Opublikowany: 17.02.2021 -
Ep.26 Natasha Joslin - Democratising data for better business decisions
Opublikowany: 3.02.2021 -
Ep.25 Elizabeth Harris - Reflections on career resilience
Opublikowany: 20.01.2021 -
Ep.24 Roisin McCarthy and Payal Jain – WiD reflections and projections
Opublikowany: 6.01.2021 -
Ep.23 Your career questions answered
Opublikowany: 16.12.2020 -
Ep. 22 Sumedha Menon - From Analytics to Data Science
Opublikowany: 9.12.2020 -
Ep.21 Karrie Liu - Success story and cultural clash
Opublikowany: 25.11.2020
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.