Women in Data Podcast
Ein Podcast von womenindata - Dienstags
140 Folgen
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Ep.59 Elizabeth Wanless - Professional Athlete to Data Science: Lessons from the Field
Vom: 11.5.2022 -
Ep.58 Susan Walsh - Becoming an authentic and visible role model
Vom: 27.4.2022 -
Ep.57 Gelareh Taghizadeh - AI & NLP in practice
Vom: 13.4.2022 -
Ep.56 Natalia Lyarskaya - How to build a great data science team (in a start-up)
Vom: 30.3.2022 -
Ep.55 Veerle Van Leemput - From data scientist to managing director
Vom: 16.3.2022 -
Ep.54 - Robin Sutara - Breaking the bias in data careers
Vom: 2.3.2022 -
Ep.53 Gurleen Shabharwal - How to make a successful career transition
Vom: 16.2.2022 -
Ep.52 Melis Tufur - Diving into the role of a data translator
Vom: 2.2.2022 -
Ep.51 Louise Maynard-Atem - Voicing what you want and stepping up into leadership
Vom: 19.1.2022 -
Ep.50 The Women in Data community in 2022 - pushing forward for change
Vom: 5.1.2022 -
Ep.49 - Jennifer Agnes - Leveraging strategy to thrive with data
Vom: 15.12.2021 -
Ep.48 Jennifer Agnes - How to build a strong and sustainable network
Vom: 8.12.2021 -
Ep.47 Gemma Turner and Michelle Williams – The power of introversion in data professionals
Vom: 24.11.2021 -
Ep.46 Harietta Eleftherochorinou - Innovation in action: Driving impact in healthcare
Vom: 10.11.2021 -
Ep.45 - Sheila Byfield – Combining data with common sense for better decisions
Vom: 27.10.2021 -
Ep.44 Annalisa Occhipinti – Data Science and Cancer Research
Vom: 13.10.2021 -
WiD Podcast Trailer
Vom: 6.10.2021 -
Ep.43 Alison Williams - The value in thinking differently
Vom: 29.9.2021 -
Ep.42 Sue Parker – Career crafting
Vom: 15.9.2021 -
Ep41. Alina Timofeeva - Achieving your ambitions
Vom: 1.9.2021
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.