Women in Data Podcast
Ein Podcast von womenindata - Mittwochs
Kategorien:
111 Folgen
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Ep.31 Ekaterina Atanasyan - Career fulfilment
Vom: 7.4.2021 -
Ep.30 Sonal Goyal - Big Data small data and data mastering
Vom: 31.3.2021 -
Ep.29 Sathya Bala - Breaking the mould
Vom: 17.3.2021 -
Ep.28 Macarena Estévez - Choose to challenge!
Vom: 3.3.2021 -
Ep27. Elisabeth Yaneske - Using data science to understand human cells mechanisms
Vom: 17.2.2021 -
Ep.26 Natasha Joslin - Democratising data for better business decisions
Vom: 3.2.2021 -
Ep.25 Elizabeth Harris - Reflections on career resilience
Vom: 20.1.2021 -
Ep.24 Roisin McCarthy and Payal Jain – WiD reflections and projections
Vom: 6.1.2021 -
Ep.23 Your career questions answered
Vom: 16.12.2020 -
Ep. 22 Sumedha Menon - From Analytics to Data Science
Vom: 9.12.2020 -
Ep.21 Karrie Liu - Success story and cultural clash
Vom: 25.11.2020 -
Ep.20 Grainne Gilmore and Dewi Spijkerman - Real estate research and geo spatial analytics
Vom: 11.11.2020 -
Ep19. Cristina Meloni - What do Credit Risk Analysts do?
Vom: 28.10.2020 -
Ep.18 Freya Holland – Owning your career!
Vom: 14.10.2020 -
Ep.17 Caroline Pankhurst - How to get rid of limiting beliefs and build bravery!
Vom: 30.9.2020 -
Ep.16 Lara Izlan - Finding opportunity in uncertainty
Vom: 16.9.2020 -
Ep.15 Sarah Hunt - Saying yes to a side hustle and flexible working
Vom: 2.9.2020 -
Lucile Ripa – Career choices and Analytics in consultancy
Vom: 29.7.2020 -
Jessica Chapplow - Becoming a marketing engineer without a STEM background
Vom: 22.7.2020 -
Kanwal Bhatia - Images are numbers! From medical imaging to sports analytics
Vom: 15.7.2020
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.